Senior scientist genentech salary: Page Not Found | Glassdoor

Опубликовано: June 4, 2020 в 11:12 am

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Категории: Miscellaneous

Genentech: Our Scientists

Learn about highly talented scientists from different areas and levels of the Genentech Research organization. Select a tile to see information about each researcher’s education and background, top scientific papers, and awards.

Adeyemi AdedejiAkshay KrishnamurtyAlexis RohouAllyson ByrdAlyssa MorimotoAmita JoshiAndrea CochranAndreas LoukasAndrew ChanAndrew Leaver-FayAndrew PolsonAndrey ShawAndy BoswellAndy WatkinsAnnemarie LekkerkerkerAnubha MahajanAnwesha DeyArvind RajpalAvi AshkenaziAviv RegevAyse Meric OvacikBaris BingolBarzin NabetBen SellersBen-Quan ShenBill ForrestBob YauchBob LazarusBrad FriedmanBrad SnedecorBrian YaspanCary AustinCasper HoogenraadChen MaoChong HanChris SiebelChris RoseChristian CunninghamChristian GampeChristian HammerChristina SchroederChristoph SpiessChristopher KothCiara MetcalfeClaudio CiferriCleopatra KozlowskiColby ShemeshCorey BakalarskiCraig BlanchetteCyrus KhojastehDale MilesDan LuDan SutherlinDana CaulderDaniel BerenbergDaniel KirchhoferDarya OrlovaDave StirlingDavid ArnottDavid HackosDennis HuDennis WolanDick VandlenDomagoj VucicDonglu ZhangEdna ChooEdward WagstaffEric BrownEric StefanichErin DueberFred JacobsonFrederic de SauvageGail Lewis PhillipsGina Xiaojing WangGreg LazarHaiming ZhangHaochu HuangHartmut KoeppenHeinrich JasperIra MellmanIsidro HötzelJT KoerberJack TerrettJacqueline M McBrideJae Hyeon LeeJames CrawfordJane KennyJason RockJason ZbiegJawahar SudhamsuJennie LillJesse HansonJi Won ParkJian PayandehJim KieferJin Yan JinJoachim RudolphJohn MoffatJohn StultsJosh KaminkerJoshua WebsterKaren GascoigneKate PengKatie HutchinsonKatie MaassKelly StorekKelly ZhangKim NewtonKui LinKyunghyun ChoLaetitia Comps-AgrarLauren SiroisLee HonigbergLélia DelamarreMan-Wah TanMarcel HopMargaret Porter ScottMark McCarthyMark MerchantMark S. WilsonMary KeirMatthew VolgrafMatthew WrightMaureen BeresiniMela MulvihillMichael KoehlerMichael LairdMichael MaserMichael TownsendMike CostaNatasa TagasovskaNathan FreyNathaniel WestNoel DybdalOla SaadPatricia Y. SiguenzaPaul CarterPaul J FielderPeter DragovichQing ZhangRajita PappuReed HarrisRene BrunoRichard BonneauRobby WeimerRobert JohnstonRobert KelleyRobinna LorenzRod MathewsRodney PrellRosa Barreira da SilvaSally FischerSamuel StantonSantrupti NerliSaroja RamanujanSascha RutzScott PivirottoSeth HarrisShahram MisaghiShan ChungShannon TurleySharookh B KapadiaShengya CaoShion LimShiqi XieShomyseh SanjabiShuguang MaSimon KelowSimon WilliamsSoyoung OhStefan KoenigSteffen DurinckStephen GouldStephen MillerStephen RaSteve StabenSteven MagnusonSteven RutherfordSuzie ScalesSören MüllerSøren WarmingTangsheng YiTeemu JunttilaThomas PillowThomas WuTim HeffronTim WilsonTom GelzleichterTommaso BiancalaniTushar BhangaleValerie QuarmbyVeronica AnaniaVincent LemaireVishal VermaVishva DixitVladimir GligorijevicWayne FairbrotherWeilan YeWeiru WangWendy HalpernWenxian FuYan WuYoana DimitrovaYulei WangYung-Hsiang KaoYvonne FrankeZora Modrusan

All DepartmentsAI/MLAnalytical Development and Quality ControlAntibody Discovery and Large Molecule PortfolioAntibody EngineeringBioAnalytical SciencesBioAnalytical Sciences, Assay Development and Technology, Department of Development SciencesBioMolecular ResourcesBioanalytical SciencesBiochemical & Cellular PharmacologyBiochemical and Cellular PharmacologyBioinformatics & Computational BiologyBiomarker Discovery OMNIBiomedical ImagingBiosample OperationsCancer ImmunologyCancer Immunology & Human GeneticsCell Culture and Bioprocess OperationsCell Culture and Bioprocess Operations (CCBO)Clinical PharmacologyClinical Pharmacology, Modeling and Simulation AnalystsComputational Structural BiologyDevelopment SciencesDiscovery ChemistryDiscovery Chemistry & Computational Drug DiscoveryDiscovery OncologyDrug DeliveryDrug Metabolism & PharmacokineticsDrug Metabolism and PharmacokineticsEarly Discovery BiochemistryEarly Discovery Biochemistry, Peptide TherapeuticsEarly Discovery Biochemistry, and Director, Biological ChemistryEarly Discovery Biochemistry, and Director, Peptide TherapeuticsGenentech Research and Early DevelopmentGlobal Technical Development (PTD)Human GeneticsImmunologyImmunology DiscoveryImmunology-OncologyInfectious DiseasesInfectious Diseases & Host-Microbe InteractionsInfectious Diseases and Host-Microbe InteractionsLarge Molecule Drug DiscoveryMicrochemistry, Proteomics & Lipidomics (MPL)Microchemistry, Proteomics, Lipidomics and NGSMicrochemistry, Proteomics, Lipidomics and Next-Generation SequencinMolecular BiologyMolecular OncologyNeuroscienceNext Generation SequencingOMNI BioinformaticsOMNI Biomarker DevelopmentOMNI Human GeneticsOncology BioinformaticsOncology Biomarker DevelopmentOncology Biomarker Development/Cancer ImmunotherapyPKPDPTPK & ITGR/OMNI Biomarker DevelopmentPathologyPeptide TherapeuticsPharmacokinetics & Pharmacodynamics; Translational & Systems PharmacologyPhysiological ChemistryPreclinical Translational Pharmacokinetics, Department of Development SciencesPreclinical and Translational PKPD (PTPK)Preclinical and Translational Pharmacokinetics, Development Sciences (joint appointment with Biomedical Imaging)Prescient DesignProcess DevelopmentProtein Analytical Chemistry / Process Technical DevelopmentProtein ChemistryProteomics & Biological ResourcesResearch BiologyResearch PathologyReverse TranslationSafety AssessmentSafety Assessment PathologySafety Assessment Pathology, Department of Development SciencesSafety Assessment/PathologySmall Molecule Analytical ChemistrySmall Molecule Discovery ChemistrySmall Molecule Drug DiscoverySmall Molecule Pharmaceutical SciencesSmall Molecule Pharmaceutical Sciences: Process ChemistrySmall Molecule Process ChemistryStructural BiologyStructural Biology and Discovery Oncology (Joint Appointment)Translational BiologyTranslational Oncology

Senior Principal Scientist-Pathologist, Safety Assessment/Pathology

Senior Scientist, Cancer Immunology

Principal Scientist – Technology, Structural Biology

Senior Scientist, Cancer Immunology

Senior Principal Scientist Development, OMNI Biomarker Development

VP Clinical Pharmacology, Development Sciences

Senior Principal Scientist, Early Discovery Biochemistry

Principal Scientist and ML lead (EU), Prescient Design

SVP Research Biology, Research Biology

Molecular modeling software lead, Prescient Design

Senior Fellow, Translational Oncology

Senior Fellow, Immunology-Oncology

Senior Principal Scientist Development, Preclinical and Translational Pharmacokinetics, Development Sciences (joint appointment with Biomedical Imaging)

Structural and Computational Biology Lead, Prescient Design

Principal Scientist OMNI Biomarker Development, OMNI Biomarker Development

Principal Scientist Human Genetics, OMNI Human Genetics

Principal Scientist and Director, Discovery Oncology

Vice President LM Drug Discovery – Antibody Engineering & Protein Chemistry, Large Molecule Drug Discovery

Distinguished Fellow, Cancer Immunology

Head, Executive Vice President, Genentech Research and Early Development

Principal Scientist Development, Preclinical Translational Pharmacokinetics, Department of Development Sciences

Principal Scientist, Neuroscience

Senior Scientist, Oncology Biomarker Development

Principal Scientist (Cheminformatics), Discovery Chemistry & Computational Drug Discovery

Senior Fellow, PKPD

Senior Principal Scientist- BioInformatics, OMNI Bioinformatics

Sr Director, Discovery Oncology

Senior Principal Scientist, Early Discovery Biochemistry

Principal Scientist, Bioinformatics & Computational Biology

Distinguished Engineer, Cell Culture and Bioprocess Operations

Principal Scientist, OMNI Human Genetics

Senior Principal Scientist, Pathology, and Director, Biosample Operations

VP Neuroscience, Neuroscience

Principal Scientist (Technology), Small Molecule Pharmaceutical Sciences

Principal Scientist (Chemistry), Small Molecule Pharmaceutical Sciences: Process Chemistry

Senior Principal Scientist, Discovery Oncology

Principal Scientist, Microchemistry, Proteomics & Lipidomics (MPL)

Principal Scientist, Early Discovery Biochemistry, and Director, Peptide Therapeutics

Principal Scientist, Discovery Chemistry

Principal Scientist, Cancer Immunology & Human Genetics

Senior Fellow, Peptide Therapeutics

Senior Principal Scientist (Technology), Antibody Engineering

Senior Principal Scientist (Technology), Structural Biology

Principal Scientist, Translational Oncology

Executive Director of Structural Biology, Structural Biology

Principal Scientist (Bioinformatics), Oncology Biomarker Development

Principal Scientist Development, Clinical Pharmacology

Principal Scientist, Bioinformatics, Microchemistry, Proteomics, Lipidomics and Next-Generation Sequencin

Senior Director Senior Principal Scientist, Protein Chemistry

Senior Director and Senior Principal Scientist (Technology), Drug Metabolism & Pharmacokinetics

Director and Sr Principal Scientist, Development Sciences

Senior Principal Scientist Development Modeling & Simulation, Development Sciences

Senior Vice President, Small Molecule Discovery Chemistry

Executive Director of Software Engineering, Bioinformatics & Computational Biology

Machine learning engineer, Prescient Design

Senior Fellow, Early Discovery Biochemistry

Senior Scientist, Cancer Immunology

VP Small Molecule Pharmaceutical Sciences, Small Molecule Pharmaceutical Sciences

Senior Principal Scientist (Technology), Proteomics & Biological Resources

Senior Principal Scientist, Neuroscience

Senior Scientist, Discovery Chemistry

Principal Scientist, Infectious Diseases

Senior Fellow, Protein Chemistry

Senior Fellow, Early Discovery Biochemistry

Senior Fellow, Drug Metabolism and Pharmacokinetics

Director and Senior Principal Scientist (Technology), Drug Metabolism & Pharmacokinetics

Machine Learning Scientist, Prescient Design

Vice President, Translational Biology

Director and Senior Principal Scientist, Preclinical and Translational PKPD (PTPK)

Senior Principal Scientist, Early Discovery Biochemistry, and Director, Biological Chemistry

Staff Scientist, Protein Analytical Chemistry / Process Technical Development

VP Research Molecular Oncology, Molecular Oncology

Principal Scientist (Technology), Translational Oncology

Senior Principal Scientist (Chemistry), Discovery Chemistry

Senior Director Principal Scientist, Antibody Engineering

Sr. Pr. Scientist, Small Molecule Process Chemistry

Principal Scientist, Translational Oncology

Principal Fellow Pathologist, Pathology

Principal Fellow and Director, Immunology Discovery

VP Cancer Immunology, Cancer Immunology

Senior Principal Scientist (Technology), Antibody Engineering

Principal Scientist Technology, Antibody Engineering

Senior Scientist (Chemistry), Discovery Chemistry

Director and Principal Scientist, OMNI Biomarker Development

Machine Learning Scientist, Prescient Design

Director and Senior Principal Scientist (Chemistry), Discovery Chemistry

Senior Director & Senior Principal Scientist (Technology), Drug Metabolism & Pharmacokinetics

Principal Scientist, Immunology Discovery

Principal Scientist, Discovery Chemistry

Director, Discovery Proteins, and Principal Scientist, Structural Biology and Discovery Oncology (Joint Appointment)

Senior Fellow and Executive Director, Microchemistry, Proteomics, Lipidomics and NGS

Senior Scientist, Neuroscience

Machine Learning Scientist, Prescient Design

Senior Principal Scientist (Technology), Structural Biology

Senior Director/Senior Principal Scientist, Structural Biology

Executive Director and Senior Principal Scientist Clinical Pharmacology, Clinical Pharmacology

Senior Principal Scientist, Discovery Chemistry

Senior Principal Scientist – Technology, Biochemical & Cellular Pharmacology

Staff Scientist – Technical Development, Analytical Development and Quality Control

Senior Director Principal Scientist B CB, Bioinformatics & Computational Biology

Principal Scientist (Pathology-Collaborative), Pathology

Principal Scientist, Discovery Oncology

Director and Principal Scientist, BioAnalytical Sciences, Assay Development and Technology, Department of Development Sciences

Principal Scientist Development, Oncology Biomarker Development

Senior Scientist, Clinical Pharmacology

Senior Scientist, Infectious Diseases and Host-Microbe Interactions

Director and Senior Principal Scientist, Small Molecule Analytical Chemistry

Senior Principal Scientist, Physiological Chemistry

Principal Scientist, Translational Oncology

Senior Director of Frontier Research, Prescient Design

Principal Scientist (Technology), Biochemical and Cellular Pharmacology

Principal Scientist (Chemistry), Small Molecule Process Chemistry

Senior Director and Principal Scientist, OMNI Biomarker Development

Senior Principal Scientist and Director, Cancer Immunology

Vice President and Senior Fellow, Infectious Diseases & Host-Microbe Interactions

Vice President, Drug Metabolism & Pharmacokinetics

VP Biochemical Cellular Pharmacology, Biochemical & Cellular Pharmacology

Principal Fellow and Executive Director, Human Genetics

Director Principal Scientist-Technology, Translational Oncology

Senior Principal Scientist, Immunology

Principal Scientist, Biomarker Discovery OMNI

Principal Scientist (Chemistry), Discovery Chemistry

Executive Director, Drug Metabolism & Pharmacokinetics

Principal Scientific Manager II, Biochemical & Cellular Pharmacology

Principal Scientist, Biochemical and Cellular Pharmacology

Principal Scientist (Chemistry), Discovery Chemistry

VP Head of Cell Culture and Bioprocess Operations, Process Development

Machine Learning Scientist, Prescient Design

Senior Director and Senior Principal Scientist, Biomarker Discovery OMNI

Senior Scientific Manager, Discovery Oncology

Machine Learning Scientist, Prescient Design

Machine Learning Scientist, Prescient Design

Senior Scientist, Cancer Immunology

Senior Director and Senior Principal Scientist, Safety Assessment Pathology, Department of Development Sciences

Senior Principal Scientist Development, BioAnalytical Sciences, Assay Development and Technology, Department of Development Sciences

Vice President – BioAnalytical Sciences, BioAnalytical Sciences

Genentech Fellow, Antibody Engineering

VP PTPK OMNI Biomarker Dev, PTPK & ITGR/OMNI Biomarker Development

Senior Fellow, Discovery Chemistry

Senior Principal Data Scientist, Antibody Engineering

Director and Principal Scientist, Immunology Discovery

Senior Staff Scientist – PTD, Global Technical Development (PTD)

Senior Fellow, Clinical Pharmacology

Executive Director, Prescient Design

Executive Director and Senior Principal Scientist, Biomedical Imaging

Principal Scientist Development, Reverse Translation

Staff Scientist – Technical Development, Drug Delivery

Executive Director Research Management, Research Pathology

Director, OMNI Biomarker Development

Senior Fellow (Dev Sci), Safety Assessment

Senior Scientist, Cancer Immunology

Senior Principal Scientist and Senior Director, BioAnalytical Sciences, Assay Development and Technology, Department of Development Sciences

Machine Learning Scientist, Prescient Design

Structural and Computational Biologist, Prescient Design

Director and Senior Principal Scientist Development -M&S, Pharmacokinetics & Pharmacodynamics; Translational & Systems Pharmacology

Principal Scientist, Cancer Immunology

Scientific Management, Clinical Pharmacology, Modeling and Simulation Analysts

Director and Senior Principal Scientist (Technology), Computational Structural Biology

Technical Development Prin Scientist, Cell Culture and Bioprocess Operations (CCBO)

Senior Principal Scientist and Director, Bioanalytical Sciences

Vice President Senior Fellow – Cancer Immunology Discovery, Cancer Immunology

Senior Principal Scientist, Infectious Diseases

Senior Scientist Microchemistry Proteomics & Lipidomics, Microchemistry, Proteomics & Lipidomics (MPL)

Senior Scientist, Antibody Engineering

Senior Scientist, Discovery Oncology

Principal Scientist Development, Oncology Biomarker Development

Senior Principal Scientist (Technology), Drug Metabolism & Pharmacokinetics

Scientist, Prescient Design

Senior Principal Scientist (Technology), Biomedical Imaging

Senior Scientist, Cancer Immunology

Principal Scientist (Chemistry), Small Molecule Process Chemistry

Bioinformatics – Senior Scientist, Oncology Bioinformatics

Executive Director, Translational Oncology

Senior Scientist, Early Discovery Biochemistry, Peptide Therapeutics

Director of Frontier Research, Prescient Design

Senior Director and Senior Principal Scientist, Discovery Chemistry

Sr Director SMDD Portfolio Strategy, Small Molecule Drug Discovery

Principal Scientist – SS, Infectious Diseases

Principal Scientist – Technology, Molecular Biology

Principal Scientist, Oncology Bioinformatics

Director and Senior Principal Scientist (Technology), Molecular Biology

Principal Scientist, Immunology Discovery

Senior Principal Scientist – Technology, Translational Oncology

Principal Scientist (Chemistry), Discovery Chemistry

Senior Principal Scientist (Bioinformatics), Bioinformatics & Computational Biology

Vice President, Discovery Chemistry

Senior Principal Scientist Development, Oncology Biomarker Development

Senior Fellow / Toxicologist, Safety Assessment

Senior Principal Scientist and Director, AI/ML

Principal Scientist (Bioinformatics), OMNI Human Genetics

Senior Fellow, BioAnalytical Sciences

Principal Scientist Development, OMNI Biomarker Development

Principal Scientist Modeling & Simulation, Clinical Pharmacology

Principal Scientist, Discovery Chemistry

Senior Fellow, VP Early Discovery Research, Physiological Chemistry

Senior Director, Machine Learning, Prescient Design

Distinguished Fellow and Vice President, Early Discovery Biochemistry

Senior Fellow, Molecular Oncology

Senior Principal Scientist (Technology), Structural Biology

Senior Fellow – Pathologist, Safety Assessment Pathology

Principal Scientist, Cancer Immunology

Senior Fellow and Vice President, Antibody Discovery and Large Molecule Portfolio

Principal Scientist (Technology), Structural Biology

Senior Principal Scientist, Oncology Biomarker Development/Cancer Immunotherapy

Principal Scientist, Process Development

Director, BioMolecular Resources

Senior Director and Senior Principal Scientist, Next Generation Sequencing

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Genentech Scientist Salary – Company Salaries

Genentech scientist salary

Genentech average salary is $107,870, median salary is $104,894 with a salary range from $53,232 to $295,000.
This estimate is based upon 17 genentech data scientist salary report (s) provided by employees or estimated based upon statistical methods.
Please note that all salary figures are approximations based upon third party.
The typical genentech senior scientist salary is $193,321 per year.
While ziprecruiter is seeing salaries as high as $169,617 and as low as $31,205, the majority of genentech scientist salaries currently range between $57,881 (25th percentile) to $114,755 (75th percentile) with top earners (90th percentile) making $147,974 annually in bronx.
Please note that all salary figures are approximations based.
Some of the positions that earn high wages at genentech include medical science liaison, salesforce developer, lead technician, and biostatistician.
The typical genentech data scientist salary is $162,000 per year.
Salary information comes from 85 data points collected directly from employees, users, and past and present job advertisements on indeed in the past 36 months.
The typical genentech principal scientist salary is $233,077 per year.

Average genentech hourly pay ranges from approximately $16.43 per hour for analytics and insight manager to $140 per hour for development director.
This estimate is based upon 112 genentech scientist salary report (s) provided by employees.
The average hourly wage for an associate scientist/scientist, computational pathology, safety assessment pathology at companies like genentech in the united states is $48 as of december 27, 2021, but the range typically falls between $42 and $55.
Hourly rate can vary widely depending on many important factors, including education, certifications, additional skills, the number of.
The average genentech salary ranges from approximately $65,793 per year for laboratory technician to $257,930 per year for senior network engineer.

Medical Science Liaison Salary cloudshareinfo

Each of our 13,500+ employees, from scientists to marketers, advances our mission.
The typical genentech scientist salary is $156,792 per year.
Please note that all salary figures are approximations based upon third party.

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Genentech Office Photos Glassdoor

Average genentech principal scientist yearly pay in california is approximately $260,674, which is 80% above the national average.
Average genentech senior data scientist yearly pay in the united states is approximately $208,897, which is 46% above the national average.
The typical genentech senior scientist salary is $193,321 per year.

Show Image

Medical Science Liaison Salary cloudshareinfo

Please note that all salary figures are approximations based.
Average genentech scientist yearly pay in the united states is approximately $181,271, which is 98% above the national average.
Please note that all salary figures are approximations based upon third party.

Show Image

Genentech Office Photos Glassdoor

Salary information comes from 85 data points collected directly from employees, users, and past and present job advertisements on indeed in the past 36 months.
Genentech salaries are collected from government agencies and companies.
Salary information comes from 2,496 data points collected directly from employees, users, and past and present job advertisements on indeed in the past 36 months.

Show Image

Genentech Office Photos Glassdoor

Please note that all salary figures are approximations based.
Salary information comes from 25 data points collected directly from employees, users, and past and present job advertisements on.
How much does a data scientist at genentech make?

Show Image

Medical Science Liaison Salary cloudshareinfo

When factoring in bonuses and additional compensation, a scientist at genentech.
Please note that all salary figures are approximations based upon third party.
The typical genentech senior scientist salary is $193,321 per year.

Show Image

Dr. Joanna Y. Lee on Twitter “Pls retweet I’m hiring! 😃🎉

Genentech salary statistics is not exclusive and is for reference only.
The typical genentech senior scientist salary is $193,321 per year.
4 rows a genentech scientist in your area makes on average $92,541 per year, or $2,141 (2%) more than.

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Medical Science Liaison Salary cloudshareinfo

The median data scientist compensation package at genentech totals $192k per year.
The typical genentech data scientist salary is $162,000 per year.
Salary information comes from 2,496 data points collected directly from employees, users, and past and present job advertisements on indeed in the past 36 months.

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Epidemiologists Salary, Education, and Job Growth

Genentech salary statistics is not exclusive and is for reference only.
The typical genentech scientist salary is $156,792 per year.
This estimate is based upon 112 genentech scientist salary report (s) provided by employees.

Show Image

Genentech Office Photos Glassdoor

Average genentech associate scientist yearly pay in the united states is approximately $148,136, which is 82% above the national average.
Salary information comes from 2,496 data points collected directly from employees, users, and past and present job advertisements on indeed in the past 36 months.
A typical medical science liaison salary at genentech is $166,322 per year.

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While genentech employees earn an average yearly salary of $92,543, different roles can command different wages.
The average genentech salary ranges from approximately $66,322 per year for research assistant to $257,329 per year for principal scientist.
Please note that all salary figures are approximations based upon third party.
Genentech average salary is $107,870, median salary is $104,894 with a salary range from $53,232 to $295,000.
A typical medical science liaison salary at genentech is $166,322 per year.
Salary information comes from 541 data points collected directly from employees, users, and past and present job advertisements on indeed in the past 36 months.
Genentech salary statistics is not exclusive and is for reference only.
163 rows 158 records from 2020, median salary $118331 employers (1) genentech inc.
23 rows san francisco, ca 8d.
Salary information comes from 85 data points collected directly from employees, users, and past and present job advertisements on indeed in the past 36 months.

This estimate is based upon 112 genentech scientist salary report (s) provided by employees.
Some of the positions that earn high wages at genentech include medical science liaison, salesforce developer, lead technician, and biostatistician.
The average genentech salary ranges from approximately $65,793 per year for laboratory technician to $257,930 per year for senior network engineer.
Genentech salaries are collected from government agencies and companies.
Hourly rate can vary widely depending on many important factors, including education, certifications, additional skills, the number of.
How much does a data scientist at genentech make?
View the base salary, stock, and bonus breakdowns for genentech’s total compensation packages.
The typical genentech scientist salary is $156,792 per year.
Average genentech senior data scientist yearly pay in the united states is approximately $208,897, which is 46% above the national average.
The typical genentech principal scientist salary is $233,077 per year.

Salary information comes from 2,496 data points collected directly from employees, users, and past and present job advertisements on indeed in the past 36 months.
4 rows a genentech scientist in your area makes on average $92,541 per year, or $2,141 (2%) more than.
Salary information comes from 9,502 data points collected directly.
Average genentech scientist yearly pay in the united states is approximately $181,271, which is 98% above the national average.
This estimate is based upon 137 genentech scientist salary report (s) provided by employees or estimated based upon statistical methods.
The median data scientist compensation package at genentech totals $192k per year.
Salary information comes from 25 data points collected directly from employees, users, and past and present job advertisements on.
The average hourly wage for an associate scientist/scientist, computational pathology, safety assessment pathology at companies like genentech in the united states is $48 as of december 27, 2021, but the range typically falls between $42 and $55.
Please note that all salary figures are approximations based.
Average genentech associate scientist yearly pay in the united states is approximately $148,136, which is 82% above the national average.

10 senior scientist bioinformatics Jobs Near s san francisco, california [Hiring Now]

Page 1 of 1 : 10 Jobs
found

  • South San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

  • South San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

Scientist/Senior Scientist, Microbiome Bioinformatics
South San Francisco, California / R&D / Full-time Apply for this job ABOUT BRIGHTSEED Brightseed is a pioneer in biosciences and artificial intelligence that illuminates nature to restore human health. Through Forager® A.I. and clinical evaluation, Brightseed helps companies gain the deepest insight into bioactives and their innovation potential. Forager A.I. accelerates bioactive discovery and biological validation from years to months –

  • San Carlos, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

  • San Carlos, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

Senior Bioinformatics Scientist, Platform Integration
San Carlos, CA / Bioinformatics / Full Time Apply for this job At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. We are developing a single-molecule protein analysis platform of unprecedented sensitivity, scale, and ease of use that we believe will democratize access to th

8
days ago

  • S San Francisco, California, US

  • 47000 – 67000/year
    (market estimate)

  • Full-Time

  • S San Francisco, California, US

  • 47000 – 67000/year
    (market estimate)

  • Full-Time

Genentech’s Department of Oncology Bioinformatics has an opening for a highly motivated and talented Senior Scientist (Bioinformatics) to join our cross-functional Cell Therapy Group in Genentech’s Research and Early Development organization. The scientist will collaborate with the Cancer Immunology department to advance research, and clinical development, of autologous T cell therapies against cancer.
Cell therapies hold great promise to be transformational in the treatment of a variety of canc

8
days ago

  • S San Francisco, California, US

  • 74000 – 105000/year
    (market estimate)

  • Full-Time

  • S San Francisco, California, US

  • 74000 – 105000/year
    (market estimate)

  • Full-Time

The Genentech Bioinformatics department seeks a highly motivated computational biologist to lead the analysis of high dimensional data from profiling and screening of in vitro cellular models to study and understand the underlying biology driving neurodegenerative diseases. The applicant will work on a highly collaborative team with colleagues in our Functional Genomics, Cellular and Tissue Genomics, Neuroscience, and Bioinformatics departments to utilize computational approaches to develop, cha

21
days ago

  • S San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

  • S San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

The Microchemistry, Proteomics, Lipidomics (MPL) and Next Generation Sequencing (NGS) Department is seeking an experienced Scientist/Senior Scientist with a record of high impact research involving the development and application of novel bioinformatic or machine learning algorithms for proteomics to join the group. The new hire will have the opportunity to develop an independent research program and work collaboratively to develop groundbreaking tools and algorithms essential to the high-throug

28
days ago

  • 3rd Avenue, San Francisco, California, 94117, United States, San Francisco, California, US

  • 96000 – 145000/year
    (market estimate)

  • Full-Time

  • 3rd Avenue, San Francisco, California, 94117, United States, San Francisco, California, US

  • 96000 – 145000/year
    (market estimate)

  • Full-Time

Senior Bioinformatics Research Scientist – Computational Biology/Data Science, remote
Look for more than answers.
At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to driv

98
days ago

  • S San Francisco, California, US

  • 47000 – 67000/year
    (market estimate)

  • Full-Time

  • S San Francisco, California, US

  • 47000 – 67000/year
    (market estimate)

  • Full-Time

Genentech’s Department of Oncology Bioinformatics has an opening for a highly motivated and talented Senior / Principal Scientist (Bioinformatics) to join our cross-functional Cell Therapy Group in Genentech’s Research and Early Development organization and advance our efforts in induced-pluripotent stem cell (iPSC)-derived immune cell therapies.
Cell therapies hold great promise to be transformational in the treatment of a variety of cancer indications. Genentech is developing cutting-edge pe

148
days ago

  • S San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

  • S San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

The Position
Genentech is inviting applications for a Computational Biologist to join the Department of Human Genetics as a Senior Scientist. Genentech has access to vast, and growing, repositories of genetic, genomic and clinical data, gathered from internal studies (including many of our trials), as well as collaborative and public external data sets. The Senior Scientist appointed to this position will play a pivotal role in developing and implementing analytical strategies that allow us to

219
days ago

  • S San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

  • S San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

The Position
Genentech is inviting applications for a Computational Biologist to join the Department of Human Genetics as a Senior Scientist. Genentech has access to vast, and growing, repositories of genetic, genomic and clinical data, gathered from internal studies (including many of our trials), as well as collaborative and public external data sets. The Senior Scientist appointed to this position will play a pivotal role in developing and implementing analytical strategies that allow us to

219
days ago

  • S San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

  • S San Francisco, California, US

  • 59000 – 93000/year
    (market estimate)

  • Full-Time

The Position
Genentech is inviting applications for a Computational Biologist to join the Department of Human Genetics as a Senior Scientist. Genentech has access to vast, and growing, repositories of genetic, genomic and clinical data, gathered from internal studies (including many of our trials), as well as collaborative and public external data sets. The Senior Scientist appointed to this position will play a pivotal role in developing and implementing analytical strategies that allow us to

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Bioinformatics Scientist at Regeneron VS Senior Scientific Researcher at Genentech? – Bioscientist

**Quick background:** [soon to be] PhD in computational and cell biology. PhD work in single-cell genomics, so it’s a ‘hot’ field currently.

I’m currently living in NYC and have all my friends and family here. I’ve got a great job offer to stay here in NYC to work for Regeneron, or move out to the San Francisco to work at Genentech.

I’m having trouble deciding between two great job offers (a great problem to have, I know). I was hoping to get the advice of all you random strangers, particularly those who may work at these companies or have some useful insight.

**Offer #1: bioinformatics scientist at Regeneron (Tarrytown, NY)**
– The work would involve analyzing data from a clinical trial which is pretty cool. The group itself seems supportive, albeit the people are kinda boring. The manager has said that she encourages people to also pursue their own interests with the vast amount of data available, so this is kind of autonomy is nice (kinda like the 80/20 model of 80% of your time devoted to your core responsibilities, 20% to your ‘passion projects’).

– Work would be remote for the next few months which could be good and bad. I would at least be staying in NYC so it would be good

– there appears to be ample room for upward mobility within this particular department and at Regeneron as a whole. Because the department is under new leadership with ambitious direction for the department, there is a ton of room to grow along with it. Particularly because I have a very coveted skillset, I can use this to my advantage to move up in the company. This is important to me because I not want to be stagnant and would like to progress my career, and eventually would want to lead my own team in some capacity.

– The job itself is entirely computational, which isn’t a *huge* problem for me, but I’m also good with designing and executing wet lab experiments. So it would be mildly disappointing not being able to wear both hats, which I do think I wear pretty well.

– The actual offer is $126k base, 10% annual bonus, about $16k in stock (I think…? this shit confuses me)

​

**Offer #2: Senior scientific researcher (SSR) at Genentech (San Francisco, CA)**

– Brand new department focusing on single cell and spatial genomics, would be one of the first people hired. Could be good to be able to get in on the cool projects early. I’d probably be doing both experimental and computational work

– Really awesome culture there, everyone I’ve spoken to seems genuinely happy and motivated there and seems to work with purpose. The work itself and the company appears very collaborative.

– The environment is has an academic flavor to it, which has pros and cons.

– A pretty big con is the rigidity of the roles and career tracks at Genentech, this is something I’ve read about constantly. The SSR track is the ‘technical’ track (more bench/work oriented), whereas there is a ‘scientist’ track that is sort of like an assistant professor where you have more of a management role. The track you are kinda ‘set’ to be on the track you are hired in, and it’s possible to switch but that basically involves applying for a job opening on the other tracks. Promotions at Genentech appear kind of rare, or at least that it takes a while. A lot of reviews I read on glassdoor/indeed (probably not the best source…) suggest that promotions are few and far between, so I worry about getting stale here. Although because I’d be in a new department I think the work would still be really exciting.

– Never been to the bay area. Don’t really have any friends out there, either. But I’ve lived in NYC my entire life and I think I’m ready for a change; I’ve been getting, dare I say, bored of NYC? Plus I’m pretty personable so I don’t doubt I’ll be able to make new friends etc in SF

– No details on the offer just yet, but I’d imaging it’s in the low $120k range, with 14% bonus + 12% base in stock grants (whatever that means lol)

​

I’m a bit torn on what to do. I’m leaning on the Gen. offer since the idea of moving to the west coast is really exciting. The Genentech job sounds much more exciting to be honest, though it might be nice to stay in NYC right now, particularly because the pandemic might make it really challenging to build a new life in a city I’ve never even visited, nor have friends in.

Any insight y’all could provide would be useful, esp if you know a bit about these companies! Thx!

EDIT:
I did want to add that since Aviv Regev had joined Genentech, she has taken some people with her from the Broad Institute to continue similar work in a new department. This would include new single cell and spatial work, and tech development. Staying within this field (and with the group that has been arguably been publishing the the best in this space) would be good to further develop my expertise. I think if anything this would at least give me even more experience and be attractive to other companies if I ever choose to leave?

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Per CDC, are biotech scientists considered “front-line essential workers”, or “other essential workers”?Ability for strategic cultivation of calcifying organisms to remove CO2 and offer bio-circular economic value – a 4-part manuscript

External CMC Collaborations Lead job with F. Hoffmann-La Roche AG

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Employer







F. Hoffmann-La Roche AG







Location


San Francisco, California (US)





Salary


Competitive Salary



Posted


Sep 14, 2022



Closes


Oct 12, 2022




Ref


202207-128856







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Clinical,

Medical,

Project Management,

Operations,

Project Management





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Jobs





Position Type




Permanent





Hours




Full Time












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The Position

At Roche, 94,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, weve become one of the worlds leading research-focused healthcare groups. Our success is built on innovation, curiosity, and diversity. We believe every employee makes a difference. We are passionate about transforming patients lives. We are courageous in both decision and action; we believe that good business means a better world.

Job Summary:

The role’s primary responsibility is about ensuring the successful development and execution of Genentechs clinical pipeline in Biologics/Novel technologies/Small Molecule for Chemistry Manufacturing Controls (CMC) outsourcing activities to Contract Development and Manufacturing Organizations (CDMOs), Clinical Research Organizations (CROs), and Contract Laboratory Organizations (CLOs). The candidate will be Genentechs primary business and project management interface between our internal functions, external business partners, and relevant project teams.

In this exciting role you will lead a cross-functional team of Genentech Subject Matter Experts (SMEs) throughout the lifecycle of our clinical contract relationships. You have the opportunity to create impact by guiding decisions and shaping Genentechs outsourcing strategies to complement our in-house development capacity and capabilities. This will include assessing various markets (e.g. China) and CDMO/CRO/CLOs for manufacturing, development, and analytical testing capabilities.

Your responsibilities include:

  • Conduct due diligence activities for in-licensing of Genentech and Roche Research and Early Development (gRED and pRED) compounds, and for new CDMO/CRO/CLOs for future work.

  • Lead and drive the selection process for CDMO/CRO/CLOs and other outsourcing partners in collaboration with Technical Development Teams (TDTs) and Global Procurement.

  • Serve on the TDTs as the Joint Project Team (JPT) Leader, leading and overseeing all external activities at CDMO/CRO/CLOs.

  • Lead the cross-functional JPT charged with managing the technology transfer and development/manufacturing/testing/logistics CMC activities at the CDMO/CRO/CLO.

  • Provide a single point of accountability for identifying and managing timely resolution of business, operational, and quality issues through the established CDMO/CRO/CLO site governance structure.

  • Develop and handle mutually beneficial, long-term business relationships with CDMO/CRO/CLOs.

  • Lead and/or support department and Roche- or PTD-wide business initiatives and facilitate their implementation, including developing and/or improving phase-appropriate business processes across the contract manufacturing lifecycle in collaboration with key partners and operational excellence groups.

  • Partner with Roche Commercial Supply Chain and CMO Management functions for a seamless handover between clinical and launch/marketed phases

  • Potential to transition along with a product from development to commercial

Who you are:

You possess a Bachelor or advanced degree in Life Science or Engineering. You bring the ability to navigate in a complex global matrix organization, have excellent communication and interpersonal skills with success in working across organizational boundaries at all levels. You are passionate to bring together people of diverse backgrounds and skill-sets to create, influence and negotiate mutually beneficial solutions. You are a self-starter and can quickly adapt to changing organizational and project needs.

  • Minimum of 12 years of biotech/pharmaceutical industry experience in manufacturing operations, technology transfer, project management, process development, QA/QC or supply chain management is required.

  • Experience working with process development groups along with overall knowledge of clinical manufacturing, regulatory, QA, and cGMP requirements for biological products is required, familiarity with small molecule products and new modalities (e.g. aseptic powder filling, oligonucleotides, etc) is a definite plus.

  • Experience working with commercial manufacturing is a plus

  • Experience developing, negotiating, and administering clinical or commercial contract manufacturing/supply and/or quality agreements is preferred.

  • Demonstrated ability to operate and lead within a matrix organization, and to handle multiple organizational interfaces.

  • Ability to set and achieve bold goals through cross-functional teams by exerting collaborative leadership without direct authority, accepting and handling ambiguity.

  • Must have strong project management, organization, facilitation, problem solving and quantitative analysis skills; financial management skills are a plus

Please note this position is eligible for relocation benefits

#LI-CA1

#ptcareers

Who we are

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated againstCOVID-19 in accordance with customer requirements, the companys health and safety obligations and/or applicable law or guidelines.

Diversity and Inclusion (D&I)are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. Were focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. For more information about equal employment opportunity, visit ourGenentech Careers Homepage.

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Business Compliance Analyst job with F.

Hoffmann-La Roche AG

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F. Hoffmann-La Roche AG







Location


San Francisco, California (US)





Salary


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Posted


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Closes


Oct 12, 2022




Ref


202204-116562







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Full Time












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The Position

This position is part of Genentechs EHS function. EHS plays an essential role in protecting Genentechs right to operate and serving as a steward for the Genentech culture embracing prevention and problem solving to reduce risks and protect our people, environment and pipeline on our SSF campus and network of places. At Genentech, compliance is a shared responsibility with the business.

The Business Compliance Analyst will manage EHS program compliance assurance, document and data control (including training content), and the internal and external audit lifecycle from preparation to closure for the Environment, Health and Safety (EHS) department in Site Services. This position ensures EHS complies with regulations as well as COREMAP requirements.

Job Duties/Responsibilities:

  • Develops processes and strategies for: EHS document and data control, EHS government agency inspections, Roche Group SHE compliance audits, compliance assurance, maintenance of Registry of EHS Legal documents, as well as any other reporting requirements to ensure compliance.

  • Collaborates with EHS leaders and business stakeholders to define, manage, implement and support compliance processes and strategies with an eye toward simplification for users. Contributes to shaping EHS culture via compliance assurance, reporting, and data and document management within EHS and client groups.

  • Manages the document and data control process within EHS to ensure all written program documentation is appropriately reviewed, formatted, released to stakeholders, and controlled as required in our EHS management system.

  • Works with EHS stakeholders to track compliance assurance activities and ensure planned actions are closed in a timely manner and that there is proper maintenance of Registry of EHS Legal documents to ensure compliance.

  • Plays a lead role in preparation of audits, including activity planning, scheduling and resourcing strategy. These audits are an internal measure of Genentechs right to operate and can carry significant financial and regulatory risk. Supports EHS government agency inspections and internal Roche audits to ensure successful engagement and closeout.

  • Brings awareness of new audit, reporting, compliance, and document and data management requirements and/or approaches, and incorporates into EHS strategy and roadmaps as applicable.

  • Ensures proper documentation, tracks progress, resolves dependencies, evaluates risks and communicates status proactively for findings and actions resulting from external and internal audits/inspections.

  • Coaches and mentors others in business compliance.

  • Serves as needed as a Safety Officer during disaster/emergency response and recovery efforts. May be required to serve as EHS Advisor (technical expert) for the emergency response team during company-related emergencies.

Competencies Identified for Success:

  • Strong analytical and organizational skills with the ability to manage and deliver multiple projects of varying complexity and scope simultaneously. Demonstrates curiosity to continually re-evaluate existing designs and make recommendations that integrate stakeholder input. Demonstrated ability to identify problems and accurately apply structured approaches to resolution.

  • Strong ability to prioritize work in alignment with EHS department strategies and goals in support of the business.

  • Strong communication skills, including the ability to effectively develop clear and concise messages from complex data, present to EHS LT and staff, and quickly gain trust. Can translate data into actionable insights.

  • Excellent teamwork and collaboration skills. Able to effectively participate in cross-functional and interdepartmental teams within a fast-paced and diverse environment. This may include participating in agile teams focused on creating value for the business.

  • Demonstrates a passion for compliance assurance and commitment to a superb client experience.

  • Excellent influencing skills across a range of levels, with demonstrated ability to work collaboratively and effectively with business partners and colleagues to drive actions to completion.

  • Quick learner who understands and can educate others on reporting methods and requirements. Resilient and adaptable in navigating organizational resistance and supporting others in adopting new behaviors and approaches. Champion for EHS.

Qualifications: Education, Experience, Knowledge and Skills:

(Minimum requirements)

  • Education: BA/BS in technology, document, project, or business management, or equivalent work experience

  • Minimum of 2-7 years of relevant experience, preferably in pharmaceutical, biotech, medical device or high tech industries.

  • Familiar with EHS Applications, including database systems such as STARI is desired.

  • Proficient with MicroSoft Word, Excel, and Powerpoint as well as the Google suite of programs (gMail, gCal, docs, sheets, slides, etc.).

  • Familiar with Cal OSHA, EPA, DOT, NIOSH, FDA and other regulatory requirements applicable to GMP and non-GMP environments.

  • This position is not eligible for relocation.

Who we are

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated againstCOVID-19 in accordance with customer requirements, the companys health and safety obligations and/or applicable law or guidelines.

Diversity and Inclusion (D&I)are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. Were focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.For more information about equal employment opportunity, visit ourGenentech Careers Homepage.

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how he lives, how much he spends and saves

This is a repeated spending diary

It is interesting to see how life can change – or not change at all. In this diary, let’s see what happened to a researcher from Moscow over the year.

Anonymous

lives in Moscow with a salary of 208,000 R

About me

Age: 29 years old.

City: Moscow.

Family: A.’s beloved husband, who was not a husband a year ago. He is 36. In July 2020, he proposed to me, in October they got married.

Position: I am a senior researcher at a Moscow university. Moved to a slightly higher position in December 2020. My scientific activity is still connected with medical physics, I mainly teach students.

Additionally, I do mathematics with schoolchildren, sometimes with students. I mainly prepare for exams.

Salary: On average, in 2020 at the university I received 160,000 R per month – this is taking into account all projects and grants. The official salary is 24,600 R, and there are months when exactly that much comes. Anything above that is bonuses, incentive allowances once a quarter and payments on grants at the end of the year. In December 2020, I received 558,000 R.

The income from students is lower, but they allow you not to get into savings in those months when the salary is equal to the salary. I charge 2000 R per hour, one lesson lasts an hour or an hour and a half – I determine this individually. On average, for a year, taking into account downtime in the summer, it comes out 48,000 R per month.

Job A.: he is a product manager in an IT company, earns about 200,000 R. In a month he moves to a new job with a salary of 300,000 RUR. . The load will be two hours a week. The payment there is symbolic – 450 R per hour.

Additional income: interest on a deposit and a savings account, on which a total of 1,500,000 RUR is approximately 5,500 RUR per month. Cashback and interest on the balance – 600-700 R per month for me and about 1000 R for my husband. I don’t count dividends and coupons, we reinvest everything.

Investments: I have two small portfolios. One, on IIS, consists entirely of bonds, there are about 165,000 R. The second portfolio consists of stocks, funds and currencies, there are now about 270,000 R, almost half are in dollars. It has auto-replenishment set for 1000 R per week. The average return of the two portfolios for 2020 was 16%. 9I sold 0005

OMS for gold and silver in March 2021 for 29,800 R – with a profit of 52% over three years.

We completely sold my husband’s portfolio in June 2021, when we bought an apartment. We received about 1,000,000 rubles.

Property: In June 2020, I bought a one-room apartment with an area of ​​42 m² in the south-west of Moscow, near the Moscow Ring Road. I contributed 3,000,000 R, another 3,300,000 R took out a mortgage at 6.1% per annum for 20 years. Construction and finishing should be completed by February 2022. We are going to rent this apartment.

In June 2021, we bought another apartment – in the west of Moscow, a two-room apartment with an area of ​​59 m², without finishing. It cost 15,000,000 R, of which 3,000,000 R was a down payment, the rest was a mortgage at 5.5% per annum. The initial contribution was mainly spent on my husband’s savings, mine are about 15% there. The keys should be issued within a month or two. We plan to live in this apartment.

I offered to sell my apartment and increase the down payment, but my husband is categorically against it.

How much I save: uneven — I can set aside 10,000 R or immediately the entire amount that came from grants and projects. In general, from 10,000 to 300,000 R per month.

Financial goal: to make a good repair in a new apartment and try not to go broke. So far, we are investing 1,000,000 R for this, but given the increase in prices for materials, it is not clear how much we will get in the end.

Savings: on savings accounts and deposits we now have 1,500,000 R. Most likely, they will go to repair an apartment. We will try not to touch the money from investments.

Husband has a cryptocurrency — about $20,000⁣ (R1,465,400) at the current exchange rate. He once spent about 100,000 R to buy it. He says that this is for retirement.

Monthly expenses

Loans: mortgage payments for the first apartment – 23 300 R per month. In a year, with small additional contributions, I reduced the monthly payment by 1200 R, and the term by two years. I am responsible for this mortgage.

The husband is responsible for the second mortgage, there you have to pay 68,500 R. So far there has been only one payment. We will try to pay off early. But until we make repairs in the new apartment, there will be a big load – rent plus two mortgages.

Sports: I don’t go to stretching anymore, in July 2020 I bought an annual gym membership for 12,000 rubles. . The thing is, I didn’t know how to swim at all. Since childhood, I have had a fear of depth. Now I swim imperfectly, I get tired quickly, but at least this process does not cause horror.

For the last two months I have not been in the gym. Until we move, I do not plan to buy a new subscription. My husband still has a gym membership, it cost 16,000 R.

Apartment: RUB 40,000 is the fee for the apartment we currently live in. This is taking into account utilities and the Internet.

Groceries and prepared meals: 35,000-40,000 R per month. We have breakfast and dinner mostly at home. Lunch is compensated by the employer for the husband – 800 R per day. I have lunch in the canteen or take something from Tasteville with me.

We go to restaurants two or three times a month.

Gifts: on average 13,000 R per month.

Travel: for the last year, excluding trips to our parents, we visited Dagestan – it cost 30,000 R for two, St. Petersburg – 15,000 R, the cities of the Caucasian Mineral Waters and Elbrus – 50,000 R. The Caucasus won my heart!

Beauty: Manicure – 900 r, hair removal – 1200 r, hairdresser – 2000 r, husband hairdresser – 600 R. On care and decorative cosmetics I spend 1,500 r.

Clothes and shoes: 6000 R.

Transportation: 5800 R for my unlimited subscription, payment for my husband’s fare – he mostly travels on the MCC – and a taxi.

Entertainment: 5000 R per month. This is a theater once every couple of months, cinema, stand-up. In December, I managed to get into The Nutcracker at the Bolshoi Theater, I dreamed about it for five years. Tickets cost 12,000 R.

Medicine: up to 3000 R for paid tests and medicines. The rest – according to VMI or CHI. The presence of VMI is very helpful now: I calculated that without it during the week of the diary I would have spent another 12,810 R.

Insurance: my mortgage insurance is about 5000 R per year, my husband’s insurance is 30,000 R per year. From my husband’s employer, we both have VHI and accident insurance around the world. For my insurance, 1000 R per month is withheld from my husband’s salary. In April, I issued a Tinkoff credit card with free service forever, which comes with travel insurance.

Coffee: up to 2000 R. I started to spend a little less, because I brew it at home more often.

A month ago I had a mini-surgery, after which I took antibiotics. As a result, the stomach ached and everything nearby. Now I am in the stage of active visits to doctors. In addition, my husband is changing jobs, so in two and a half weeks his VHI will end – and mine, respectively, too. Therefore, I try to have time to get initial consultations and undergo basic examinations on issues that concern me, while I can do it for free. So every day of the diary, I will visit clinics, take tests, and so on.

I also went to a psychotherapist, paid 6000 R per session. But the last time I visited her was four months ago. We began to cancel the drugs, contacted us on WhatsApp every two weeks to monitor the condition. Now I’m on my third month without medication – and everything is fine!

Education: last year I attended the EdCrunch education conference – for free, as a university employee. Passed the course “Methodologist of educational programs” at “Skillbox” for 24,000 R. Recently took a free course on presentations from “Yandex Practicum”, learned a few useful tricks related to visualization rules.

Communication: 650 R – my phone, 600 R – husband.

Books: 200-500 R, I mostly buy electronic ones.

Services: “Yandex Plus” – 1 Р per share for the next two months, before that I used my husband’s account, it’s free. Sberprime – for three months free of charge, then I will turn it off. I took it only for the sake of the Scooter service, in which there will be a 7% discount. My husband also has Sberprime connected, he bought it for 999 R for two years.

Parents: We do not help with money, we try to give expensive gifts that parents are not ready to buy for themselves. From the latter – a TV, a sewing machine, a steam generator, a mobile phone.

Charity: sometimes, very rarely, we transfer money to some fund we like. We also have a “Thank you for your help” promotion in Yandex Taxi: the cost of the trip is rounded up to 10 R upwards in favor of the Help is Nearby fund.

How we manage the budget

We have a joint budget, but no joint account or card. From the advance, the husband immediately sets aside 110,000 R for a mortgage and rent, we spend the rest on life. My salary goes to my mortgage, I throw another 10,000 R for early repayment. The rest I transfer to a savings account.

I spend what I get from my students for my life. I also have a rule: from any incoming amount, I transfer 10% to a savings account. I keep track of all my expenses in the Coinkeeper app. The husband does not keep records, but he is not a spender, he will never spend too much. I do not track his expenses during the day, but I will list them in my diary for reporting purposes.

My expenses in the Coinkeeper app

What has changed in a year in my life

The year was full of events: we got married, bought two apartments. I was promoted, I created an author’s course for undergraduates in my department. We traveled around Russia, discovered the Caucasus. We also went twice to Cheboksary and Orenburg, and also to St. Petersburg for the weekend.

Sad: about a month ago I lost my baby in early pregnancy. It was not easy to survive, but we do not lose heart. But I was once again convinced that I am surrounded by the best people: my husband, family and friends.

Day one, Monday

Expenses per day: mine – 4530 R, husband – 84 R for two trips to the subway.

07:25. My husband’s alarm clock rings, he rearranges it for another 10 minutes, we hug and fall asleep again. We have a ritual: after waking up, we always sleep in an embrace for 10-15 minutes. Then for another 5 minutes we show tenderness to each other in every way and finally get up. My husband makes the bed and goes to wash, I cook breakfast. Today A. eats alone: ​​I have to take an analysis for TSH strictly on an empty stomach, so I limit myself to two glasses of water.

08:05. Husband has breakfast with scramble with fresh peppers and smoked sausage. I’m packing my box of vitamins and medicines for the day. We tell who dreamed today. For example, I ran away from the conductor on the train because I stole a bottle of champagne from the dining car. And my husband dreamed that we came under rocket fire.

08:15. My husband stayed to wash the dishes, I went to wash my face, put on makeup and put my clothes on. I switched to CeraVe pharmacy care cosmetics for five months, and I am very satisfied: the skin color has become noticeably more even, the number of inflammations has decreased. Recently, I did a long-term eyebrow styling, so now only mascara, light powder and lip hygienic are now cosmetics.

08:45. It’s time to leave the house. I am satisfied with my appearance today – and with the appearance of my husband too. He’s handsome, I sincerely think so.

Both of us have long gone to regular office work. I am glad of this: nevertheless, live communication is preferable for me. It takes us both 40-50 minutes to get to work, but I go by metro, and my husband goes to the MCC. We reach the fork, say goodbye, hug, wish each other a good day. I don’t pay for the metro: I have unlimited for three months.

09:30. I got off the subway near work, I’m taking my tests right there, at the KDL. There is no queue, everything is quite fast and professional. I’m not afraid to donate blood, I don’t notice at all. As a student, I was a donor for five years, donated blood twice a year.

Analysis and taking of material cost 695 R, but I have discounts on the Health Card and from the Yandex Health service for buying a consultation from them. The total cost was 616 R. −616 R

09:45. On the way to work, I went to Vkusvill for breakfast and lunch. For breakfast I take an omelette with chicken, for lunch I take couscous with a turkey cutlet. I also bought milk for the office with coffee and a small bottle of water. With a 3% discount, 371 R came out. Water was immediately useful to drink pills that must be taken at least 15 minutes before meals. My stomach problems worsened while taking antibiotics, so now I try to keep a sparing diet and drink medicines. All according to the doctor’s recommendation. −371 R

While I was walking, I noticed that I hadn’t taken off my shoe covers.

10:05. I got to the office, or, as we call it, labs. Our scientific group has three rooms. The first is an office space with four workplaces, a kitchen and a negotiating table. The second is a large experimental one, it also has three jobs. The third one is quite tiny, we received it recently, while there is only one workplace.

We do not have a strict time to come to work, especially now, while students have not started classes. In general, today is officially the first working day after a 45-day vacation. But no one rests that much, usually three weeks. Let’s see how many of us there will be today. I poured myself some coffee, had breakfast alone, reading the spending diary of a manager from Lviv.

Breakfast at work

10:25. I managed to read only the introductory part: a graduate student came. He told how he went to Nizhny Novgorod on the weekend. We discussed a new grant from the Intellect Foundation for research in the field of AI, the brain and cognitive systems. This is not exactly our topic, but we have research related to the effects of ultrasound on the brain. You can try to apply. The conditions of the grant are very good: the salary is 150,000 R per month, another 200,000 R per year are given out at conferences and VHI.

10:45. Mom called and asked for help with the Russian Railways website: she couldn’t get into her personal account. She lives in Cheboksary and in a couple of weeks she is going to visit us for a few days. Her cunning plan is to bring us a lot of homemade fruits and vegetables before the season is over. Mom has a lot of things growing in the garden, but I hope that she will not drag watermelons to us.

Changed her password on the Russian Railways website, picked up trains, sent her to WhatsApp. Now our trains have been updated, but before there was absolutely fear: stuffy, with toilets closed at stops. Now there are comfortable double-deckers, with air conditioning and a pleasant dining car.

Another of our graduate students came, said hello and went into the next room.

11:00. I select a task for a student for tomorrow. We work with him face-to-face and in the summer, he himself asked very strongly about this. He is moving to the 11th grade, preparing for the exam.

11:25 am. Two more colleagues arrived. Wow, there are four of us! They followed in my footsteps to rest on Caucasian Mineralnye Vody, share their impressions.

11:30. I sent updated details under the GPC agreement: the previous payment did not go through, since I changed my last name. This is our project on the side, which is already in its second year and, apparently, will last a couple more years, as the need for additional research has surfaced. The results, unfortunately, are not as impressive as we had hoped. I can’t tell you in detail: the project is related to the development of a fast neutron reactor, and there, as you understand, everything is not for publicity.

11:45 am. A couple of months ago, I took on the resuscitation of one of our old installations, which once worked perfectly. With its help, you can see in real time how an acoustic wave propagates. It turned out that it was necessary to completely change the measuring cuvette. We agreed with the manager on the drawing of a new cuvette, taking into account all the necessary cutouts for optical glasses. Today I need to find companies that will take up manufacturing. I study the Internet, call up four offices, send them our drawing.

12:45. As a result, I settled on two offices. They have approximately the same prices, production time, good reviews. I am more inclined towards one of them, but the consent of the head is needed. I collect information together and send it for approval. The manager is most likely in a completely different time zone now, so I don’t expect a quick answer.

13:10. I start reading an article that was sent to me for review. It is on my subject, I know the authors in absentia. My task is to decide whether this article can be published, whether it contains new scientific results, whether there are any semantic errors. The article is not very large, I can handle it quickly.

2:15 pm. I finished reading, noted for myself a few points on which I would like to receive additional explanations from the authors. But in general, the article is very good. Now you need to write a review and send it to the publisher, and they will send it to the authors to finalize the article. I’ll do this after lunch.

Warming up my lunch. In the process, I solve everyday issues: it so happened that I have been dealing with them since the very appearance of these premises, since 2014. We need to hang new curtains, we agree on next Friday. I’m buying a shoe rack in Ikea for the laboratory, 219 came out with delivery9 R. I do not write down the expenses, this money will be returned to me.

15:10. Mom calls, she has decided on a trip. I buy her round-trip tickets to the women’s compartment in the lower seat. −3200 R

At some point, one of the employees jumps up abruptly and runs away with furious eyes into the adjacent room where the experimental facilities are located. It turned out that he set a large container for acoustic measurements to be filled and forgot about it. With the whole friendly company, we urgently remove almost 50 liters of water. Fortunately, we had a mountain of diapers for experiments, they all went into business.

4:00 pm. I returned after the elimination of the flood, I am writing a review. I recommend the article for publication after the response to the comments. I send it to the editorial office of the magazine.

16:45. It’s time to take a break and drink some coffee.

17:00. I am reading an article that describes in detail the principle of operation of the installation, which we decided to revive. I summarize the important points.

17:50. That’s it, I’m done for today. I say goodbye to everyone and go to the doctor at the clinic for VHI. I take the subway four stations.

18:20. Today I’m going to the gynecologist. She is a wonderful doctor, very professional and caring. And it is important that it promotes the principles of evidence-based medicine.

18:40. The appointment ended quickly, they took one analysis, the result will be in a couple of days. I take the subway home. On the road, I continue to read the spending diary that I started in the afternoon.

19:20. I’m at home, I’m going to have dinner. My food has been ready since yesterday. I add vegetables to chicken and bulgur meatballs – and the perfect dinner is ready! I drink water.

Next Saturday we are going to a friend’s birthday, a rock-style party. I decided to add a tattoo to my look. I sit on Wildberry, I choose. Many are beautiful, but they are too delicate. I settled on a tattoo in the form of a microphone. −129 R

20:15. The husband wrote that he was getting off the subway. I quickly get ready and run out to meet him: we need to arrange a present for this very birthday. We bought a gift certificate for 5000 R to a very beautiful lingerie store. The certificate was sent by mail, and my husband redesigned it and printed it on a color printer, now it needs to be laminated.

In the first place, the lamination machine did not work, in the second place everything was done quickly, it turned out beautifully. −130 R

We run into Wildberry to pick up the order. These are T-shirts and accessories for the same party. My husband has already paid for the order.

The sunset today is somehow incredible – purple-pink-violet. I’m trying to take a picture, but the color is not the same. Either the phone is bad, or my hands do not grow from there. This must be seen live.

Actually the sunset was much more beautiful

21:00. We returned home, my husband went to dinner. Today he brought two packs of nuts and a pack of yogurt. On such purchases, A. spends the money that is given to him daily for food: he usually spends half for lunch, and he spends the rest in the evening in a store where you can pay with their company badge. While my husband is having dinner with meatballs with kefir, I go to the shower.

21:40. We sit down to listen to lectures that students of the course on startups will learn from. The husband must listen to them before the start of the school year: his task will be to help students implement the practical component of the course, launch their own startup. I listen with half an ear, at the same time I iron things, then I sit down at the diary.

10:30 pm. I am finishing my diary. We listen together about Customer Development. The story is very boring and monotonous.

23:00. All finished. We make each other a light massage, lie down, hug, go to bed.

Second day, Tuesday

Expenses per day: mine – 177 R, husband – 84 R for two trips to the subway.

07:25. The morning is almost the same as the previous one, only today I have breakfast with my husband. I made him a scramble – he loves eggs – and for myself I made cottage cheese with blueberries and honey and avocado toast. Everything else is in the same mode.

08:50. We left the house, on the way I agreed to meet my friend on Thursday morning. She will give me a black studded leather jacket – all for the same party.

I am going to the student. He lives not far from my place of work, about 20 minutes. But after him I will have to return, because by 13:00 I need to go to the antenatal clinic. So then I’ll be working from home.

We stop on the way to Vkusvill, take a small latte. It costs 120 R, but is assigned as my favorite product, plus this month I have a 3% discount. −93 R

A notification arrives in the mail: yesterday’s analysis is ready. I open it: everything is in order. But I will still go for a consultation with an endocrinologist: during pregnancy, the TSH level increased noticeably and went beyond the normal range.

Saying goodbye to my husband near the subway, reading a new spending diary on the way.

09:50. I start a lesson with a student. During the summer, he rested for only four weeks, the rest of the time we study twice a week. Today we start with the next cut, we complete the first 13 tasks of the Unified State Examination. The result is 10 out of 13, geometry suffers the most. In the remaining time, we repeat the application of the derivative to the study of functions. +2000 R

11:05 am. I’m leaving the student. The weather had clearly improved, it was quite cloudy in the morning. This is good, although the heat that prevailed in July was pretty exhausting. I go home by bus and subway.

On the road, I read Anna Varga’s “Introduction to Systemic Family Therapy” in the Litres app, in order to be fully armed, if anything. The book was recommended to me by a friend who is a clinical and family psychologist. I started last week, it’s quite difficult to read. Still, it looks more like a textbook than pop-science. The main idea is this: everything around is systems, including the family. Therefore, the approach must be systematic.

I go to the Tinkoff application – and there I received interest on the balance and cashback. +1014 R

We have a very green area, beautiful landscape design Alley on the way home. On the right is the house where Alexei Navalny lived. We used to often see them with my wife. Alexei Navalny is included in the list of terrorists and extremists

12:00. I’m at home, I have 40 minutes before going to the consultation. I pour myself green tea, put the student’s results on a tablet. Last year, I started keeping such a table in Excel for each student, making comments there with my thoughts and tracking progress quantitatively, and not just qualitatively.

I see in the mail a letter from the manager about the manufacture of the cuvette. Great, he likes the same company as me. He has questions, many of which I can answer myself, one by one I contact the manager of the company. I am writing a reply letter, attaching a slightly corrected drawing. But the answer will again have to wait until night. If everything goes well, I can place an order tomorrow. They promise to do it in 20 days.

12:45. I leave the house. It’s seven minutes to go to the women’s consultation, but I always try to come to any meetings a little early. I really don’t like to be late and I can’t stand it when others are late, especially if they don’t warn me. On all our dates, A. came before me. I immediately melted and fell in love.

13:15. I left the doctor’s office, they gave me a couple of appointments. Tomorrow I need to donate blood, in a week – to do an ultrasound.

13:30. I warm up my lunch – meatballs with vegetables. While eating, I watch Varlamov’s latest issue – about the “Theater of the Innocent” project. It seems to me that it is very important to convey information to society about people with Down syndrome: they need socialization.

14:00. I sit down to work, continue to read articles about installation. In general, everything is clear, very precise and accurate adjustment is required. I formulate some unclear points, send them to the head. At one time, being a graduate student, he collected it. Then she stood idle for a long time – and now a task appeared where she would be very helpful.

15:15. Checking the bank app. Wow, I’m harvesting money today! The payment arrived, for which I sent the details yesterday. But the amount is less than in the contract. I contact the project manager. It turns out that everyone has it, payment is made in two tranches. The rest will be sent by the end of the week. Well, let’s wait. +253 000 Р

Oh yes, the advance payment for August has also arrived. But today is only the second working day of the month, and before that there were 15 days of vacation, so the amount is appropriate. +2708 Р

I don’t do anything with the money yet, I’ll scatter it in the evening.

15:25. I have long had a tab open on my laptop with an article T-W about stories from children’s camps. I decide to read it and am horrified. There was a wonderful camp in my childhood, I rested in it every year from 1998 to 2006. We cried at the end of each shift: we didn’t want to leave. I am writing a comment about this, I am surprised at the number of negative ones. I wonder if I was so lucky, but in fact, the camps are mostly bad? Although I worked as a counselor for almost six years and do not remember such horrors.

As a result, I go on Vkontakte to the group of my children’s camp, which closed ten years ago. Wow, the group is alive, the guys are still writing, posting photos, going to the territory of the abandoned camp! In general, I hung up: I review old photos, videos, I get nostalgic, I even burst into tears. It was a great time! I will definitely send my children to the camp. I hope my husband is supportive. He has never been to the camp.

16:15. I return to work. On Thursday we are planning a long experiment – we need to have time to prepare the data and build graphs, so that later we can compare them with the results. I launch the program for our inputs, build graphs, select the necessary coefficients.

5:30 pm. I am distracted by coffee. After the last diary, I bought myself a geyser coffee maker and a manual coffee grinder. I find that there are almost no grains left, not even enough for one full cup. Well, I cook from what I have. I need to order a new batch. I usually buy coffee at Rockets Coffee. I take different varieties, I like almost all of them.

Now I make coffee myself. I like that at home you can play with tastes, bitterness, sweetness

I sit down to work again.

18:20. Finished with the basic calculations, sent the results to all participants in the experiment. Perhaps something will be asked to recalculate.

Dealing with cash receipts: everything came to Sberbank, and my main accounts and card for payments are in Tinkoff. I am trying to transfer the entire amount according to the account details, but no: they require a commission. I don’t want to give the bank 1,500 R. I just send 150,000 R to a Tinkoff card, it doesn’t work anymore, and I transfer it to a savings account. I’ll deal with the rest tomorrow.

I write to my husband what I need to buy, then I sit on Instagram. Basically, I subscribe to doctors there – only evidence-based medicine, of course – financial bloggers and tutors. By the way, I highly recommend 100pointsrepetitor for those who want to prepare for the exam in mathematics.

I talked to my mother, they remembered the camp: she worked there as an accountant for three years in the summer.

19:00. Tomorrow morning I have FGDS – I’m waiting for it with horror – so I need to have dinner now, and then even the water will have to be limited. I cook myself some pasta and carcass of zucchini, listen to a random playlist from Yandex Music. I have supper.

19:40. I decide to do light articular gymnastics, dance a little to the music. That, perhaps, is the whole sport in my life right now. Sometimes we also ride bicycles with my husband. Well, I try to do 10 thousand steps a day. I think that soon I will want some serious physical activity again, but not yet. I am writing to my husband to write to me 15 minutes before arrival: I will go to meet him, take a walk.

I start the robot vacuum cleaner.

20:10. Doorbell. Clearly, my husband did not see my message. He brought two boxes of chopped melons, milk, tea, and apples, all within the daily allowance for food from the employer. He dine on meatballs and melons. I can’t eat anymore, so I just sit with him and discuss the day.

20:30. I go with my husband to take a shower.

21:00. The husband takes pistachios and sits down to watch lectures for the academic year. Today he was sent a schedule, classes will begin on September 1. This will be his first teaching experience. I am writing a spending diary.

22:00. Finished. We are watching the series “Wonderworkers” on “Kinopoisk”. From the first episode I watched, I was bribed by the voice acting of Courage-Bambay. When I hear them, my thoughts go back to my student days, when my girlfriend and I in the dorm watched The Big Bang Theory through the holes, eating sandwiches with sausage cheese and mayonnaise. “Wonderworkers” is also good: absurdity, ridicule of patterns. Funny, easy, no hidden meanings, everything is on the surface. The best thing is to unload the brain in the evening.

23:00. We watched two episodes, hugged, lights out.

Third day, Wednesday

Expenses per day: mine – 1429 R, husband – 84 R for two trips to the subway, 680 R at a meeting with a start-up in a restaurant.

07:25. Alarm clock, hugs, get up. I don’t have breakfast today, they didn’t even recommend drinking. I cook oatmeal with milk for my husband. He has breakfast, I admire him.

Watching a video on YouTube about a couple who met and got married when they were both over 70. Delight! They met at a dance and have been dancing for 12 years. Again I persuade my husband to go dancing with me in Gorky Park. In vain. Well, at least at home we dance with him.

08:20. I go to wash my face, do all my morning routines. Today I want to dress up, so a red sundress and beautiful jewelry are used.

This is my mood in the morning

08:45. We leave the house, I go to donate blood. There was no queue at the antenatal clinic – I hand over in five minutes and run towards the metro. I’m going to another clinic for FGDS.

09:45. In the clinic. Here I am served by VMI. I have not been to this branch yet, but FGDS is done only here. Inside, everything is very clean and more like a hotel. I draw up the documents and wait with horror for the procedure. I only did a gastroscopy once, and it was very unpleasant. I hoped that I would not encounter it again, but alas.

The clinic is clean and nice Waiting for my turn

09:55. The doctor is taking me. Everyone, good luck to me!

10:30. I am free! This time it was also unpleasant, but more tolerable. Either the technology has been improved, or in a paid clinic they are doing it more accurately. Do you know what the irony is? According to the results, I will most likely need an EGD every year. Haha! Tomorrow the gastroenterologist will tell more precisely. But even now the doctor explained everything to me in great detail: she drew a stomach, described how it should be and what it really is.

Waiting for the results in the hallway for 10 minutes, writing to my husband. Finally drank some water. I am transferring the balance of yesterday’s salary to the Tinkoff card.

Picked up the papers, I have 20 minutes to work by transport or 30 minutes on foot. I decide to take a walk, on the way I will stop by Vkusvill.

I buy myself an omelette with spinach for breakfast, and boiled potatoes and a fish patty for lunch. −361 R

11:10. I’m at work, while I’m alone. I warm up breakfast, pour cappuccino. While I was having breakfast, a graduate student came. We talked and said that yesterday he went for a bike ride. I want too. We discussed our side project: it is not yet clear whether a new GPC agreement will be concluded with us.

11:50 am. I start to work. I open the manager’s letter: he gave the go-ahead for the manufacture of the cuvette. I am writing to the manager to confirm in writing the cost, terms and method of payment.

I open the letter with my colleagues’ answers to my calculations. They ask to build graphs for other parameters. If we have time tomorrow, then we will try them. I correct, I start the calculation. After 10 minutes, the charts are ready. That’s it, I’ve finished my part of the preparation for the experiment.

12:15. Today I want to do course editing. Last summer, I was asked to write and teach a course for undergraduates. I cooked it, in fact, on my knee, intuitively. I didn’t like the result: it turned out to be a set of lectures without any practice. And it was noticeable in the standings.

I took the course “Methodologist of educational programs” at Skillbox and decided to redo everything. I made a connection diagram based on the desired educational results and skills, prescribed options for practice and tasks, changed the logic of topics. Let’s see what happens.

There are only 16 lessons in the course, I want to prepare at least half before the start of the school year. The rest I will do in the process. You need to write a summary of each lesson and sketch out presentations. It is not yet clear in what format we will start training.

13:10. A woman called, asking to prepare her daughter for the exam. I was recommended to them by the mother of one of my students. We discussed the details with her, agreed to hold the first lesson in mid-September, when they returned from vacation.

1000 R was debited from the card to the brokerage account. I do not contribute to expenses.

14:10. I worked the first one and a half classes, a break for lunch. The graduate student has already left, so I’m having lunch by myself. I turn on the latest video by Katya Konasova – about famous bloggers.

14:50. A colleague came and flooded our room on Monday. Today is the second attempt: water must be poured and degassed for 12 hours for the experiment, which will be tomorrow. The colleague says that he agreed with the management on the installation of leakage sensors.

I continue to work on the course.

15:20. A notification arrives on the phone that a downpour is expected soon. And I’m in a dress and without an umbrella! Hope it’s a false alarm.

16:30. I’m interrupted by Instagram — I’m watching the rils of one geneticist girl. She’s cool, and her life is very unusual. I decide to write to her in direct: I talk about T-F and the diary of expenses, I suggest writing too. I think it would resonate here. Let’s see. I pour myself some coffee and continue to work on the course.

17:00. The rain still poured down. According to the forecast, for a long time. Well, today I’m sitting here until the rain stops.

5:40 pm. I prescribed four classes and schematically sketched presentations. We discussed the experiment a little with a colleague. Yandex-weather claims that the rain will not end until 19:30. Too bad, I would like to leave earlier. I don’t lose hope.

18:10. The rain has stopped, it’s time to go home. Just left work when the phone rings. Unfamiliar number, on the other end “investigator from the Ministry of Internal Affairs.” Well, okay, it’s ten minutes to walk to the metro, and you can chat. The longer he talks to me, the fewer people he will call.

Briefly: someone with a copy of my passport and a power of attorney from me wants to withdraw money from my card. An investigation is starting, my accounts will be blocked, so I will now be contacted by the Central Bank. Well, well, our Central Bank, of course, personally communicates with individuals. As soon as I got to the subway, I hang up. They called three more times and stopped.

I found an article about similar types of fraud, threw it into our family chat – primarily for parents.

In the subway I open T-Z, and there – as if the Universe heard me – a conversation with a gastroenterologist. Read carefully, helpful. In the subway, I ordered a package of hygiene products and eggs from Samokat. −304 R

19:10. Came back home, put the turkey on the boil, ate the apple. I took the order from the courier. While the turkey is cooking, I take a shower. I applied a honey mask with Tambukan mud for 15 minutes. I bought it in Kislovodsk, I like it.

20:00. The turkey is cooked, I will cook waffles with zucchini from it. My husband wrote that he would be in 25 minutes, just in time.

Dinner – waffles with zucchini and turkey

20:30. And here is my beloved husband at home. Today I brought melon, pistachios and gorgonzola. We sit down to dinner and discuss the day. He had a meeting with a young startup today. Perhaps we can work together. I admire my husband: he manages so much and wants so much! There is a main job, but he goes to teach, mentoring, and now he is also discussing a new startup with former colleagues. He told me the idea, I liked it. If everything works out, it will be something new on the market.

9:30 pm. The husband sits down to watch the lectures. Today he is tired, so he will only watch for 30 minutes. I am writing a spending diary.

22:10. We are watching two episodes of “Wonderworkers” together, finishing the second season. We are discussing that Wildberry has introduced a commission for paying with Visa and MasterCard cards and a fine for unpurchased goods. I am indignant, but my husband does not see anything terrible in this.

23:00. We hug, lie around for a bit and go to bed.

Day four, Thursday

Daily expenses: mine – 4165 R, husband – 84 R for two trips to the subway.

07:25. The alarm clock is ringing. I get up broken: today I didn’t sleep well, I woke up six times a night. This happens to me a couple of times a month. Hug with my husband, get up. Then everything is as usual: I go to cook, my husband – to wash. Today for breakfast – boiled eggs and a sausage sandwich for my husband, an egg and an apple for me. I go to the bathroom, my husband runs away early: he has a meeting at ten, I need to get ready.

08:40. I leave the house, on the way to the subway I go for coffee. First I go to a meeting with a friend: she will give me a leather jacket for a rock party. In the metro I read about family psychotherapy. −93 P

09:15. We agreed to meet at 09:30, and I arrived 15 minutes earlier. I get out of the subway – and my friend is already waiting. I love it when it works! We talked about life for 15 minutes, discussed the upcoming start of the school year: she works at a private school. I took my jacket.

09:30. I go to work by bus. On the way, I went to Vkusvill for lunch, took couscous with vegetables and turkey cutlets. −192 R

09:50. I’m on the spot. While no one is there, I clean the kitchen area, put out the garbage, my coffee machine.

10:10 am. I continue to edit the course. In the process, an SMS is received about crediting the coupon to the card. I transfer money to IIS. +304 Р

11:10. I break for a chat with my friends. One of them uploaded a photo of baked waffles and invites her to visit. We agree on the day of the meeting, we decide to play Cashflow. Heard a lot about this game, very interesting to try.

I continue to work.

12:00. So, yesterday we agreed to start the experiment at noon. And where is everyone? While I wait, I am compiling lists of students for the next year. I am the curator of a group that completed a bachelor’s degree last year. Now the composition of the group has changed a lot: some have gone to other universities, others have decided to go into business. I find lists of new groups and their contact details on the site, I see many familiar names. In the next two years, I will supervise two master’s programs.

I am sending a small questionnaire to the guys who have not studied with me before. In addition to scientific preferences and contact information, I learn about their hobbies, whether they live in a hostel, whether they plan to combine study with work. Supervision does not take too much time: basically I am needed during tests and exams or when a student needs help in organizational matters.

12:15. A friend is writing. She and her husband have been living in London for two years, and now they have arrived in Russia. He suggests meeting in a week. Of course I’m for it! I am writing to my husband, asking if he can do it. The husband can, we agree with the guys about the time.

Still no colleagues. I called: one is in a traffic jam, the second is in no hurry, because he knows that the first one is in a traffic jam. I need to see the doctor at 13:50 for a couple of hours, so maybe they will start without me.

I decide to prepare everything. I go to the experimental room, take out the main equipment, remove excess bubbles from the walls of the pool, and print out the experiment plan. All that remains is to wait. I pour myself tea.

12:35. Great, everyone is here, the team is ready. The plan is as follows: assemble the installation, adjust, launch a long automated measurement for three hours. At this time, nothing is required of us. Then process the results and, based on them, conduct a series of manual measurements. All work is related to the study of the impact of non-specific types of fields on contrasting inhomogeneities. Let’s get started.

13:30. The guys are still adjusting, I went to have lunch.

13:50. Started measurements. I leave for the clinic, get on the bus. At 14:30 I have a gastroenterologist, at 15:00 an endocrinologist.

15:30. The gastroenterologist prescribed treatment – five drugs for the next two weeks. The endocrinologist sent me for an ultrasound of the thyroid gland, although nothing bothers me, I just came for a consultation. Apparently, they are trying to squeeze the maximum out of the insurance. In general, I didn’t like her very much: she speaks confusedly, doesn’t really explain anything. I decide that I will do an ultrasound tomorrow and consult with all my tests at Yandex Health.

I’m going back to work.

16:00. Returned, measurements are still in progress. I am still forming a basket in Eapteka. The whole set will cost me 3796 R. It contains prescription drugs, so I can only pay at the pharmacy itself.

16:20. The measurements are over, a colleague is processing the results. At the same time, we joke about the experiment and discuss everything in a row: what we will do on the weekend, how soon the training schedule will be posted, and so on.

16:50. Let’s move on to the next part of the experiment. Three people have to work here at the same time, each has his own duties. The experiment is routine, it has been done more than once, but you have to be careful and not make mistakes.

19:20. Finished, I will process the results tomorrow. I pack up and go home.

20:10. Hooray, I’m home! On the way, I picked up medicines from the pharmacy. The pharmacist was surprised why I needed so many antibiotics. And I have a recipe in which so much is prescribed. I don’t like to drink antibiotics, besides, I recently finished the course. I begin to doubt the adequacy of the prescribed treatment. I’ll probably go with all the research results for a second opinion. −3796 Р

I go to Wildberry and pick up the order. That’s it, my image for the party is ready!

The doctor prescribed me such a mountain of medicines My outfit for a rock party

I don’t have any strength at all, so for dinner today I’ll just boil dumplings with potatoes and cut vegetables.

20:30. My husband came, brought two desserts from Vkusvill – all from the same money for food: he has a machine at work. Of course, I don’t want it, but I’ll eat it anyway. We sit down to have dinner.

Discussing my upcoming birthday: I turn 30 years old. At first, I was thrown from “I’ll go alone somewhere to the sea” to “let’s throw a grand party for a hundred people.” In the end, I decided this: first, the show game “Who is cooler”, and then we will continue to celebrate in rented apartments in Moscow City. We discussed the budget, it turns out 45,000-50,000 R. The husband does not mind. But, perhaps, in a week I will be interrupted again and I will still go to the sea alone.

9:10 pm. A. remains to clean the kitchen and wash the dishes, I went to the shower to relax.

21:30. The husband decided to watch Varlamov’s video about the fall of the USSR: yesterday was 30 years since the August putsch of 1991. I am writing a spending diary.

22:30. We watch the series, hug, give each other a massage – and sleep.

Day five, Friday

Expenses per day: mine – 500 R, husband – 84 R for two trips to the subway.

07:25. The alarm clock is ringing. Slept great today. I hugged my husband for 20 minutes and decided that it was time to start this day. I drink a glass of water, I cook breakfast – cottage cheese waffles with blueberries. We have breakfast, wash ourselves, hug for another 10 minutes and leave.

08:50. On the way, I go for coffee. I want to try everything with lactose-free milk, but every time I remember this already at the exit from the store. Last year, I did a genetic test, which revealed that I was lactose intolerant. At the same time, I eat and drink dairy products all my life. I’m trying to switch to lactose-free milk, but things are still there. −93 R

I’m leaving by subway to visit a student who had it on Tuesday.

09:50. We start the lesson. The student was half asleep, disheveled, obviously just got up. I did my homework perfectly, I immediately give the control – I do it once or twice. Okay, so I really understand. We analyze the geometric and physical meaning of the derivative – I understood everything, I did all the intermediate tasks. +2000 R

11:00 am. Finished, I have half an hour walk to work. I’m moving out. The mother of another student writes: they want to start studying next week to refresh their knowledge before the start of the school year. We agree on Monday and Tuesday. I work with him at Zoom.

A notice arrives that the balance under the GPC agreement has been credited. +83,000 R

I create a separate “Birthday” account in the application, transfer 50,000 R from my savings account there. All expenses will be from here: it’s more convenient for control.

Stopped on the way to Vkusvill, took buckwheat and a turkey cutlet for lunch and apples to the laboratory for everyone. −253 R

11:30. There is only one graduate student at work so far, the people will most likely catch up by one in the afternoon. It turns out that yesterday colleagues launched another long-term measurement for the night. I’m going to check if everything is in order. I see a threatening inscription: “Do not touch anything.” Ok, whatever you say. I take pictures of the current state, send to colleagues.

I eat an apple and sit down to process the results of yesterday’s experiment. This is purely mechanical work.

12:20. Finished. It turned out well, but there is something to discuss. I am writing a letter to all those involved with my thoughts on this matter. Probably, the experiment will need to be slightly modified and repeated.

I open the student’s letter, I am his supervisor. In the summer, he had to read a large block of literature and understand the simulation of calculating the passage of rays through a system of lenses and mirrors. He sends his results, I see inconsistencies. We decide with him today at 18:00 to discuss this in Zoom. This means that by this time I should be at home: there is neither a camera nor a graphics tablet on my work computer.

I decide to have a rest before lunch — I scroll through the Instagram feed, look through the chat at the house where our future apartment is located.

13:10. I get a call from the clinic where I was supposed to go for an ultrasound by 15:00. It turns out that I was signed up for 13:00 and there are no other options for today. One of us got it mixed up – most likely me. Moved to Monday. Well, at least an hour was freed up.

I am making an appointment with a gastroenterologist at Yandex Health. I send him all the tests, the results of ultrasound and FGDS. I want to get another opinion. The doctor will respond within 24 hours.

13:30. Two colleagues came, they drink coffee with me while I have lunch. It so happened that our team is divided into two groups: half come at 9-10 and work until 18-19, others appear at 13, but also leave at 21. If necessary, of course, we adapt to each other.

14:00. I return to my course. Today, the minimum task is to schedule one more lesson and sketch out a presentation by two. In parallel, I run the calculations, play a little with the parameters. See if anything good comes out of it.

4:30 pm. Finished with the course for today. I check my mail: there is a letter from the manager about our ditch. It’s been a long time, I wrote to him on Tuesday. And he writes this: “I received your letter, I will answer it soon.” Wonderful! I’ll wait until Monday and call.

I continue the calculations.

16:50. I leave home to be in time for a meeting with a student. I say goodbye to colleagues until Monday. While I’m on my way, I’m looking at different options for birthday cakes on Instagram. I want something minimalistic, stylish and tasty. On the way, I go for bread. −70 Р

18:00. I’m home. I quickly marinate the turkey in soy sauce with paprika. I notice that the stocks in the refrigerator have come to an end. I’ll figure out breakfast tomorrow, but on Sunday I have to go for groceries. Calling a student on Zoom. We discuss where he had difficulties. I explain in more detail, I seem to have caught it. Will be redoing.

18:40. Started the robot vacuum cleaner. While I’m cooking, I turned on a conversation with an immunologist on the Rumored Youtube channel. It can be seen how the scientist carefully selects words and tries to explain everything in an understandable language. I like that there are a lot of videos with doctors on this channel lately. The first I watched was an interview with gynecologist Olga Belokon. Amazing! Then there were cool conversations with a reproductive specialist, a geneticist, a pediatrician and a pharmacist.

20:10. My husband came, brought a pack of chips and almonds. Neither one nor the other is possible for me yet. We have turkey, boiled potatoes and broccoli for dinner.

My husband received a salary. +93 000 Р

Our colorful dinner

20:40. We had dinner, my husband washed the dishes. We decided to go for a walk. The weather is good and there is a nice park nearby. We walk, chat about A.’s transition to a new job, and plan future repairs. We tried to remember our wedding dance – it didn’t work. As a result, we sat and watched the video from the wedding. How happy we are there, our eyes are shining! It was a cool day.

On the way home we met a girl in the park who was walking a minipig. Yes, yes, I have not seen this yet.

21:55. We returned home, took a shower. I sit down to write a diary, my husband watches a video about the fall of Kabul on the Redaction channel, eats the chips he brought. I also tried a couple of things. Well, I couldn’t resist, it happens.

22:40. I join my husband. We wallow, hug, watch “Wonderworkers”.

23:40. Hang up. Tomorrow we are going to the Moscow region for the 30th birthday of a friend.

Sixth day, Saturday

Daily expenses: 2092 R.

07:30. The alarm clock rang: apparently, they forgot to turn it off. We hug and fall asleep again.

08:30. We get up, I go to cook breakfast, my husband – to wash. Today I have rice porridge with apples, and my husband, as usual, has a boiled egg. He refused porridge.

09:00. A. ran off to study in the gym, I slowly have breakfast. I eat another apple. I like to do everything very slowly on weekends, not to rush anywhere.

09:20. I just go to wash, and everything ends with me lying in a bath with foam and getting high. Great start to the day.

10:10 am. It’s time to get on the road. We are going with an overnight stay. Our friends will take us there by car, we will get back on our own.

My eyesight is not very good. I usually get by with glasses, but I always wear one-day lenses for such events. I find that the last pair remains. Will have to buy new ones. I usually use 1-Day Acuvue True Eye.

Applying a transfer tattoo — it turned out great! I put things in a pile on the bed, my husband will come and put everything in his backpack.

Music is my life! Anyway, today is

10:30. The husband returned from training, collects his things. We change into our outfits. Before leaving, we decide to drink tea with bread.

11:10. We leave. I have to go for flowers, buy me a coffee and get to the meeting point with the guys. I looked on Yandex Maps for a point with flowers with excellent reviews. We decide to go there. We reach, and there everything is somehow withered, stale, there really is no choice. In general, we did not understand where such a rating came from. We are urgently looking for a new location. There are three more points on the way to the metro – we will definitely be able to buy somewhere. I wrote a review in Yandex Maps with a bad rating.

11:40 am. Hooray, bought flowers. We took a small bouquet in an envelope: we are going to a rented house, it is unlikely that there will be a place for bouquets, and then the guys will take them back to Moscow. −1800 Р

On the way they bought me coffee in some coffee shop called “Coffee to go”. It turned out to be impossible to drink, money down the drain. −150 R

12:10. We are at the MCC, I take another coffee there. Not great either, but you can drink. We go to the guys at the meeting place. The husband pays 42 R. -142 R

The bouquet is beautiful and compact, and this is important

13:00. We arrived a little earlier, wait 20 minutes, meet and leave. The guys understood the theme a little differently: their images are more in the style of punk rock, in pink and black colors. Looks great! On the way, we discuss how everyone’s vacation went. The guys talk about the trip to Cuba on the first flight after the borders were opened. There were 26 tourists in their hotel, which is designed for 800 people.

14:30. We arrived, half of the guests had already gathered. There is a beautiful new house with a veranda. They handed flowers and a gift – the same certificate to the lingerie store.

And then the party. There were 15 people in total. We made an imitation of Tsoi’s wall out of wallpaper, had a photo session, grilled barbecue, went boating, played games, sang with the guitar, filmed a video for the song “A Star Called the Sun”, drew tattoos for each other, danced a lot, had a hookah. We ate two delicious cakes in the evening – the one ordered by the birthday girl’s husband was also stylized as Tsoi’s wall.

At first we followed the rock theme, but then, when the dancing began, all the music of the nineties and two thousandths went into use. It turned out very cool. At the same time, no one got drunk, everyone just had fun. In general, the holiday was definitely a success.

Our homemade wall of Tsoi A is a themed cake

02:30. I got a headache. I found a pill from the guys, drank it and decided that it was time to sleep. My husband was also already falling asleep, so we went together. A couple more people left with us, the rest had fun until four in the morning.

Something terrible was happening to me at night: it was shivering, then it became wildly hot, my stomach twisted. I fell asleep closer to six in the morning.

Seventh day, Sunday

Daily expenses: 1706 R.

09:twenty. I woke up with my husband, I feel overwhelmed. The husband touched his forehead – he says that he definitely has a temperature. There is no thermometer, of course. We decide to take a taxi home. It should come out around 2000 R.

We get up, go down to the first floor, there is already a queue to wash. The birthday girl makes coffee. Everyone is slowly swaying, someone has already put sausages on to boil. I drank coffee, ate a piece of black bread and half a banana – it doesn’t fit anymore. I took a walk with my husband to the river, I feel better, I seem to have even cooled down.

We decided to go home by train.

10:45. The people are moving away little by little. We also left, two more girls went with us. They called a taxi to the station for four. Husband paid. −204 R

11:15. We are at the station, buying tickets to Moscow. The train is in 20 minutes, we are waiting. It has already been served, but the doors are still closed. −260 R

11:34. We leave, drive for about an hour. In the train, I feel that the temperature is creeping up again, it starts to shiver. I dream of being home sooner.

12:30. We transferred to the MCC, it took about 40 minutes to get to us, so I immediately fell asleep on my husband’s shoulder. −42 R

13:35. We’re home. As we walked down the street, I was shaking all over from the cold. I understand that it is not even 37 °C anymore. The husband immediately goes to the store. I lie down in bed, measure the temperature – 38. 7 ° C. I don’t even have the strength to take a pill.

14:00. My husband comes back, brings me a paracetamol tablet, pours me tea with honey and lemon. He offers to drink Theraflu, but I refuse: usually in such a situation everything is treated with plenty of drinking and sleep. In the store, my husband bought dumplings for lunch, eggs, bread, sausage, mayonnaise, kefir, lemon, cookies. −1200 Р

2:20 pm. My husband is busy in the kitchen, I fall asleep.

16:10. I wake up and my husband is sleeping next to me. I measure the temperature – 37.7 ° C. Telegram created a general chat with photos and videos from the party. I look through, save my favorites to my phone.

16:25. I fall asleep again.

18:50. Woke up, A. is still sleeping. I hug him, he wakes up. I feel much better. Temperature 37.1°C. My husband starts preparing dinner, I go to drink tea with him.

Spoiler: it was not covid. Apart from fever, there were no other symptoms.

19:20. I go back to bed, open YouTube, watch an interview with an immunologist.

19:30. The husband calls for dinner, cooked mashed potatoes with chicken. I only eat mashed potatoes until I feel like eating a lot.

20:10. Back in bed. My husband unpacked our bag from the trip and went to take a bath, and I fell asleep.

21:20. I woke up, we decide to look at something. We scroll through Kion and Kinopoisk-HD for a long time, and finally stop at the film Bender: The Beginning. I didn’t like the movie at all – watch it once and forget it. But, apparently, even the sequel has already been filmed or is being filmed.

22:50. I fall asleep, the temperature is exactly 37 °C. My husband is still watching.

Weekly expenses — 14,599 R

Medicine 4412 R
Food and prepared meals 3960 R
Tickets for mom 3200 R
Gifts 1930 R
Transport 968 R
Accessories 129 Р

Medicine

4412 R

Products and ready food

3960 R

Tickets for mom

3200 R

Gifts

19000

Spending diaries. Readers share a week in their lives

Tell your story

Why America is attractive to scientists


The US National Science Foundation (NSF) has calculated how much people of different professions earn when they come to America to work (we are talking here about the h2 B visa for skilled workers).

Those foreigners who work in the field of journalism and writing receive an average of $38,200 per year, and those who are engaged in religious activities – $37,400. Moreover, their salary does not depend on the presence of a master’s degree or doctoral degree: in both cases, it will be at the average level. Thus, it makes sense for representatives of these professions to emigrate to the United States only at an early stage of their career.

Consider the situation with visiting scientists. Mathematicians and physicists, even with a bachelor’s degree, on average, can count on an annual salary of $58,000. At the same time, having a doctoral degree will raise it only by $3,000. For representatives of the social sciences: political scientists, economists, sociologists, the starting salary is lower – $54,100, however a master’s degree can already claim $64,000, and a doctor of sciences – $77,600. The salaries of engineers, doctors, and IT specialists are not bad.

According to NSF calculations, no fundamental changes are expected in the coming years. Over the past 25 years, the number of scientists and engineers in the US has doubled and is growing steadily 1.5-2 times faster than the total workforce. People in these professions earn well: the top 50% of the highest paid workers in these industries receive an average of $70,600 a year, while the average salary in the United States is $31,400. In addition, scientists and engineers are less likely to be unemployed: as of September 2009g., among them it was 5.5% with a general unemployment rate of 9.7%.

The US is increasingly relying on immigrant labor. So, in 2003, 15% of scientists and engineers with a bachelor’s degree and about a third with a doctoral degree were foreigners, and among engineers with a PhD there were more than half of them.

Most of all in the US, IT specialists, physicists, mathematicians are waiting, but representatives of the social sciences are also in demand. For example, there are more than 10% of foreigners among already working bachelors in the humanities, and almost a fifth (20%) among doctors of sciences. The NSF has calculated that about half of foreigners with PhDs in political science receive tenure positions or become tenure-track candidates within 1-5 years.

The United States is not the leader in terms of the share of spending on science in GDP (2.7%) and is far behind Israel, Sweden, Japan and South Korea (Fig. 1). But in absolute terms, it surpasses all countries: the United States accounts for more than a third of the world’s spending (369 billion dollars) on research and development. Sun lately? corporations began to invest more in science (in 2007, about 2/3 of the total volume).

The United States is also the absolute leader in financing university science – it is $50 billion a year, which is three times more than in Japan, and 30 times more than in Russia. In 2006, US universities issued the most degree awards in the world, ahead of China, the UK, Germany and even Russia, where Ph.D.

With regard to the distribution of research expenditures, more than 90% of the $50 billion goes to naturalists. Most of all university liberal arts students were lucky in Spain and Japan, where these areas account for about a third of the costs. In Russia, approximately 81% is allocated to the natural sciences, the rest – to the humanities.

The US university environment contrasts with secondary education, which many parents and experts are unhappy with. If we take, for example, mathematics, then in the international study TIMSS, fourth-grade American students on average scored lower than in Russia, Japan, Singapore, and others, but outperformed countries such as Italy, the Czech Republic, and Norway. And in another global PISA test, 15-year-old Americans lagged behind most participating countries. School teacher salaries are also growing at a slower rate than those of other professions.

Despite the fact that Barack Obama’s administration promises new reforms to schools, there won’t be a big breakthrough, because school education can’t be exported anyway. It is much more profitable to invest in the academic sphere: this is not only a “valuable fur”, that is, a return on investment, but also an annual influx of tens of thousands of the best minds from South Korea, China, India and many other countries.

In 2007, 25% of all US graduate students and more than half of postdocs arrived in the country on temporary visas, of which nearly two-thirds, statistics show, chose to stay. And although the crisis has slightly undermined the attractiveness of the United States for visitors and sun? more American graduates, in an effort to avoid unemployment and get interesting jobs at the beginning of their careers, are interested in vacancies in China, however, scientists and inventors will not stop going to the USA.

We export university education, in return we get the best engineers, biologists and economists – this is the American model of science and education.

(Slon.ru)

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Learn how to become a senior researcher for 8 steps (plus salary) • Buom

Author: editorial team Indeed

26 August 26,

9000 employees typically provide cutting-edge subject-specific knowledge that helps improve various industries. These roles, shared by medicine, technology, science, and academia, ensure that qualified individuals contribute to ongoing research and help strengthen their programs or organizations. By learning more about this position, you can decide whether or not you should pursue this career. In this article, we’ll discuss what a Senior Research Fellow is, eight steps you can take to become one, as well as salary information and tips that can help you during your search.

What is a senior friend?

A Senior Research Fellow is a person who has developed his expertise based on his experience and achievements in a particular field and has received recognition from his peers. Institutions typically recognize senior fellows for this role after many years of service as a teacher, researcher, or professional member of the organization. Depending on the organization, Senior Researchers may have different responsibilities, for example:

  • Conducting advanced studies

  • Coordination of employees, students or volunteers

  • Publishing academic reports

  • Cooperation with other researchers and institutions

  • 9000

  • Arranging meetings between investigators

  • Ensuring safety and legal compliance

  • Assistance in coordinating programs across organizations

Senior Research Fellow Qualification

Depending on the organization or institution, qualifications may vary to become a Senior Research Fellow. For example, many universities require senior fellows to have a PhD in the field as well as extensive research experience before being considered. These programs may also require teaching experience or publication in reputable journals. In organizations such as non-profits, many require their senior fellows to complete a PhD and conduct research for a minimum number of years.

How to Become a Senior Fellow

There are several steps you can take to become a Senior Fellow:

1. Get an Education

Most fellowship positions require significant education. Consider individual requirements for programs such as medical research, technology and curricula and organizations before accepting a position. For example, a senior researcher position in a psychology program at a university may require a doctoral degree, while a senior researcher position in a technology company may only require a master’s degree and significant work or research experience. While these degrees may not be required, they can help boost your credibility in the field.

2. Gain research experience

Most senior researchers in academia and corporate organizations earn their position by sharing knowledge in a particular area. For example, a senior researcher at a technology company can earn this title by developing a new programming model. This requires extensive research into existing models, hypotheses, and testing of new methods. Senior Research Fellows who are engaged in research or teaching at universities may conduct research during their graduate programs as Fellows or PhD students, depending on program requirements.

3. Research fellowship programs

Researching fellowship programs can help you determine if they also offer senior fellow positions. In graduate programs, there may be several scholarships that can help you gain research or teaching experience. You can apply for the Medical Fellowship Program after completing a residency program, which can help you gain work experience before practicing on your own. By studying programs at your school or other organizations, you can learn about possible paths to becoming a Senior Fellow.

4. Work like a comrade

Many senior researcher opportunities require you to work as a researcher for a certain period of time. It is common for some organizations or universities to nominate people for open scholarship positions. If you are applying for a Medical Fellow position, you may hold this title for one year after your residency. On the contrary, you can keep the post of research assistant at the university for the duration of the postgraduate program. In addition, working as a Research Fellow can help you secure grant funding for additional research in your field.

5. Complete specific requirements

As part of your application for senior researcher status, you may be required to take qualifying exams to demonstrate your competence in a particular area. This may include advanced testing or field testing to show your ability in research or expertise in the field. Some universities may require you to provide evidence of your achievements and research, such as publications in academic journals.

6. Update your CV

Executives or presidents of companies and universities may review your CV when considering candidates. Consider updating it with your latest achievements and experience. Some information you can include:

  • Teaching experience

  • Research projects

  • Presentations

  • Publications 9002

    0005

  • Professional experience

  • Education History

  • Awards

7. Submit to the position of senior researcher

,

Having received qualifications, think about applying for the position of senior researcher. Review the detailed requirements before applying to ensure you have the desired level of professional or research experience and can demonstrate your accomplishments. For some Senior Research Fellow positions, there is a nomination process in which existing Senior Fellows can vote on who should serve. Consider expressing your interest to your seniors and asking them what else you can do to become one of them.

8. Work as a Senior Researcher

Senior Researchers often serve in their position for a fixed period of time. For example, as a senior researcher, you can work for seven years. During this time, you may continue research, advise organizations on research methods, or help coordinate program expansion efforts. In this role, you may also help set policies and procedures, conduct classes, or serve on advisory boards.

Salary

The average national salary for a senior researcher is $121,749 per year. However, salaries may vary depending on the program or organization, the fellow’s level of experience, and location. For example, a senior researcher at a large firm may earn more than a senior researcher teaching at a small university because of the subject matter.

Tips for becoming a senior researcher

Here are some tips to keep in mind when choosing a senior researcher career:

  • Start early: A senior researcher career can take many years, depending on educational and work experience requirements. Consider starting school as early as possible and doing research as often as possible.

  • Socialize often: As you study and prepare, you can meet people at different stages of their careers. Senior professors, supervisors, and other advanced professionals can give you advice on how to become a senior research fellow in your field.

  • Be passionate: passion and dedication can help motivate you on your career path. Try to remember how the research you do and your achievements can influence or advance scientific, business or medical knowledge.

Majilismen proposed to increase the salaries of scientists

It is necessary to revise the mechanism of basic and grant financing of scientific organizations.

According to Mazhilis member Aizhan Skakova, the decline in the level and potential of Kazakh science has become an obvious trend. The crisis affected all the basic factors of science: scientific personnel, research base, industry management and financing models, reports inbusiness.kz.

“We propose to define the development of domestic science as a priority strategic task and a necessary condition for the development of Kazakhstan to the level of OECD countries with a gradual increase in funding for science to 0. 5-1-1.5-2%. Together with the scientific community, develop a new organizational model of science as an industry with an effective management and financing system. Revise the system of the mechanism of basic and grant funding for scientific organizations. Significantly, at least twice, increase the remuneration of scientists and establish a guaranteed base salary. Provide social incentives for young scientists: provide a social package” , – she said.

When objectively examining the causes of the problems of domestic science, a number of important factors stand out, the deputy continued.

“The first factor. Underestimation of the main thing in science – our scientists. According to official data from the National Bureau of Statistics, the Ministry of Education and Science and the Science Foundation, the reduction in the number of scientific organizations has led to a reduction in researchers. The number of scientific researchers in state research institutes has decreased from 12,660 people to in 2015 to 9533 people in 2019 (by 24. 7%) Over the past ten years, the quality of scientific qualifications of scientists has noticeably deteriorated.year, the number of doctors of sciences, the older generation of scientists, decreased by 82%. Of these, only in the direction of “engineering developments and technologies” the number of doctors of sciences decreased by 88%,” the Majiliswoman cited the figures. .6 thousand tenge, researcher – 93.9 thousand tenge, laboratory assistant / doctoral student – 84 thousand tenge, master – 77.3 thousand tenge, bachelor – 75.6 thousand tenge. For comparison, the average salary in Kazakhstan for 2020 amounted to 2098 thousand tenge.

“Under these conditions, an important part of the salary of a scientist is a grant, if any, and not reduced in costs. But often the head of the grant limits himself in salary in order to keep the research team and carry out research. Just like basic funding, grant funding does not cover the purchase of equipment for research purposes. Separate competitions and allocated funds for the purpose of acquiring it are extremely insufficient. Thus, today a scientist has a low salary, depends on the availability of a grant, and is not sure about the future. At the same time, the requirements for scientists are growing exorbitantly with every year. They are constantly required to improve their scientometric indicators, and at the same time, Kazakhstani scientists demonstrate high publication activity, we have good indicators,” Skakova explained.

The reasons for the outflow of young people from science are low wages and unsatisfactory conditions for research activities, she listed.

“This situation has caused the aging of scientific personnel, the loss of scientific schools and continuity. And most importantly, we are losing a valuable layer of intellectuals with critical, constructive, creative thinking, which our nation needs and tomorrow will ensure the progressive development of the country. Assessment of the role of science for of the state is vividly shown by the history of the National Academy of Sciences,” the mazhilisman believes.

The second factor, according to Skakova, is the inefficient organizational model of science as an industry – management problems and catastrophic underfunding.

“There are several levels of problems here. At the macro level, it is worth paying attention to the fact that Kazakhstan in 2019 reached a historical minimum in terms of R&D (research and development) spending – 0.12% of GDP. Funding from the republican research budget decreased from 40.7 billion tenge in 2015 to 36.7 billion tenge in 2019year, that is, by 9.8%. Also insufficient is the basic funding of science. At the same time, basic financing involves only the maintenance of buildings, the salary of administrative and managerial personnel. The expenses for remuneration of scientific staff and equipment are not included there,” she noted. conditions that are not related to science, which subsequently turn out to be grounds for refusing a scientific project. Thus, out of 4488 applications received for grant funding, only 109 were approved by the Ministry of Education and Science of the Republic of Kazakhstan for 2018-2020. 6, out of 406 applications for program-targeted funding, only 93 were accepted by the NSC as the only deciding body, which consists of officials, interested experts, representatives of non-scientific business, but without independent scientific experts,” the deputy emphasized.

Thus, according to her, the real state of science today with a critically low level of its funding does not reflect the large-scale task of Kazakhstan joining the 30 developed countries and up to the level of the OECD countries.As the ranking of countries in terms of spending on science shows, the leading countries are Switzerland, the United States, the Republic of Korea, China and etc., where an average of 2.5% of GDP is spent on R&D annually.Today, the country needs to correctly determine its priorities – real steps diverge from the country’s strategic plans.

Dana Karina

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3122-sleep 01/18/2019.

On the introduction of changes in the size of the basic salaries of scientific and executive employees of research institutions involved in the implementation of scientific and technical programs of fundamental, applied research and innovative work at the expense of budgetary funds, approved by the Cabinet of Ministers on August 18, 2009No. 233

Decree

of the Ministry of Innovative Development of the Republic of Uzbekistan
of the Ministry of Employment and Labor Relations of the Republic of Uzbekistan

On introducing changes to the base salaries of scientific and executive employees of research institutions participating in the implementation of scientific and technical programs of fundamental, applied research and innovative work at the expense of budgetary funds, approved by the Cabinet of Ministers of August 18, 2009Year No. 233

[Registered by the Ministry of Justice of the Republic of Uzbekistan on January 18, 2019 Registration No. 3122]

Minister of Innovative Development I. ABDURAKHMANOV

Tashkent,

December 10, 2018,

/k

5 No.

Minister of Employment and Labor Relations Sh. KUDBIEV

Tashkent,

December 10, 2018,

No. 28-kk

DIMENSIONS – technical programs of fundamental, applied research and innovative work at the expense of budgetary funds approved by the Cabinet of Ministers of August 18, 200

1.

Director of the Institute

Having a degree of Doctor of Sciences or Doctor of Sciences (Doctor of Science) or equivalent degrees of foreign countries 9041 901 901 9

5 120 280

6 400 350

academic degree of doctor of science or doctor of science equivalent to it

Having a degree of Doctor of Sciences or Doctor of Sciences (Doctor of Science) or other scientific degrees of foreign countries and the scientific title of professor

3 861 000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9,0005,000 9000 9000 9000 9000,000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9,000

5 791 500

who has the academic degree of Doctor of Science or Doctor of Science (Doctor of Science) or other equivalent academic degrees of foreign countries and the academic title of senior researcher or associate professor

Having a degree of Doctor of Sciences or Doctor of Sciences (Doctor of Science) or other scientific degrees of foreign countries or the academic title of professor

3 841 200 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 9000 90,000 9000 9000 9000 9000 9000 90,000 9000 9000 9000 9000 9000 90,000,000 9,000 9,000 9000

5 761 800

Candidate of Science or Doctor of Philosophy (Ph. D) degree or equivalent other academic degrees of foreign countries and academic title of Senior Researcher or Associate Professor

3 603 600

4 324 320

5 405 400

Having a scientific degree The academic title of a senior researcher, or associate professor

3 494 700

4 193 640

5 242 050 9000

4.

9,000 9,000 9000 9000 9000 9000 9000 9000

Deputy director of the branch and other scientific institutions for scientific work

who has the academic degree of Doctor of Science or Doctor of Science (Doctor of Science) or other equivalent academic degrees of foreign countries or the academic title of professor

3 663 000

4 395 600

5 494 500

Having a degree of candidate of philosophy (Ph. D) or other degrees of foreign countries and scientists equal to it and scientific. researcher or associate professor

3 494 700

4 193 640

5 242 050

Having a scientific degree The title of senior researcher or associate professor

3 237 300

3 884 760

4 855 950

5.

9014.0971 Chief researcher

Having a degree of Doctor of Sciences or Doctor of Sciences (Doctor of Science) or other scientific degrees of foreign countries and the scientific title of professor

3 663 663 663 663 663 663 663 663 663 663 663 663 663 6641

395 600

5 494 500

who has the academic degree of doctor of science or doctor of science (Doctor of Science) or other equivalent academic degrees of foreign countries and the academic title of senior researcher or associate professor

3 445 200

4 134 240

5 167 800

Classes of science or doctors of science (doctor of science)

3 286 800

3 944 160

4 930 200

6.

CU0641

2 900 700

3 480 840

4 351 050

Having a degree of candidate of philosophy (Ph.D) or equivalent degrees

2 643 300

3 171 960

3 964 9505

7.

9091 9091 9091 9091 9091 9091 9091 9091 9091 9091 9091 9091 9091 90EAL0965

Having a degree of candidate of sciences or Doctor of Philosophy (Ph.D) or other scientific degrees of foreign countries and academic rank

2 702 700

3 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 243 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 24 2URS 4 054 050

who has the degree of Candidate of Sciences or Doctor of Philosophy (Ph. D) or other equivalent degrees of foreign countries or academic title

2 385 900

2 863 080

3 578 850

9000 227 500

2 673 000

3 341 250

Unable to academic or a scientific degree (with experience under 2 years)

91

Where to grow as a scientist. Once again about career and salary. – Search

When there is nowhere to move

Lately, the authorities in Russia are literally forcing the administration of universities and institutes to adequately pay for the work of scientists and teachers in accordance with the so-called salary decree of the president.

This measure was a kind of reaction to the complete “failure of the market” by 2012, when professors of metropolitan universities began to receive fewer primary school teachers. This has never happened anywhere else in the world!

However, in pursuit of specific economic parameters and standards, officials have overlooked another important problem – the lack of a full-fledged career ladder in the academic field. The current gradation of scientific posts, borrowed from the Soviet past, looks frankly primitive and irrevocably outdated. It can be stated that today in the country there is actually no system of vertical rotation of scientific personnel, which deprives scientists of incentives for new achievements.

To illustrate, I will give an example from my own life. It so happened that I received my doctoral degree at the age of 30, and two years later I went to work at the State University of Management. He took the position of professor, which seemed to be quite logical for a person with a doctorate degree, who worked in a good research institute as the head of a sector and had many publications in decent journals. However, at 32, I was at the top of the university job hierarchy. There was nowhere to move on. It may be objected to me that there was an opportunity to become the head of the department, dean, vice-rector or rector. I will answer: these positions are administrative, not scientific and do not involve active research activities. In addition, obtaining them is often associated with intrigues, “friendship” with the right people, participation in the administrative process, etc. In my opinion, the situation when a young person hits the official ceiling at 30 years old is blatant.

I would like to note that today young doctors are no longer a rarity, and the described case is gradually turning from a unique case into a typical one. The reason for this state of affairs is the lack of an adequate job hierarchy. In this sense, science loses to many industries and state structures, where there is an extensive job system.

How are they?

Today, universities in almost all countries of the world have a system of academic positions, where the position of a lecturer appears as a lower level. For example, in Australia, four grass-roots positions represent “varieties” of lecturer: Associate Lecturer (Entry Level), Level B Lecturer, Level A Lecturer, Senior Lecturer. Above are the positions of Associate Professor and (Full) Professor. In other words, the very option of lecturing at Western universities is a grassroots competence that novice employees are able to perform. The position of a professor, on the contrary, involves not so much lecturing as scientific work and activities to organize and coordinate research. In the US, a full professor usually performs the most complex functional duties: conducts research, supervises doctoral (graduate) students, ensures interaction between scientists and private companies that finance relevant topics, obtains grants and is responsible for their implementation. To implement the aforementioned functions, high scientific qualifications and extensive research experience are required, which is what the position of a professor implies.

When comparing this system with the Russian university way of life, one can see fundamental differences. So, in Russia, according to tradition, the mission of a professor consists, first of all, in lecturing. Moreover, it is believed that it is unacceptable for an acting professor to be relieved of a lecture load; otherwise, he is threatened with transfer to another position related to purely research work. The latter is carried out in our laboratories by junior, senior, leading and chief researchers, while teaching is carried out in the departments by employees of teaching positions. Only very recently, attempts have been made to integrate these two university segments within the framework of the so-called “efficient contract” (EC), however, for a number of reasons, this is not working out well: the substitution of the two types of workload is not equivalent, there are constantly gaps in financial logistics, and planning extrabudgetary income from research in ordinary universities is almost impossible.

In Western countries, for example, in the United States, teaching and research options are separated by introducing different statuses for universities. For example, colleges are focused exclusively on teaching undergraduate programs and are poorly involved in the research process. In Brazil, the division of universities into public research universities and public teaching-oriented universities, as well as elite private universities is also used. In Canada, a distinction is made between doctoral, comprehensive and bachelor’s universities.

Our authorities are also following this path, introducing different statuses for universities: leading classical universities, national research universities, federal universities, flagship universities. A simple rule usually applies: the higher the status of the university, the greater the research component and the higher the guaranteed salary. However, the assignment of a certain status to a higher education institution is almost in no way compatible with the requirements for their employees. Meanwhile, it would be logical if teachers in ordinary universities were not burdened with the research option, while in status universities this option, on the contrary, dominated.

One of the pain points of modern Russian universities is the lack of a sufficient number of research departments and researchers. In fact, many of our universities have become a continuation of the school, where students are simply taught and practically no research is conducted. It would be unreasonable to burden all universities of the country with scientific laboratories and centers, but the leading universities are simply obliged to have them. To do this, it would be possible to establish regulatory standards for universities of different status. For example, in flagship universities, the share of researchers (researchers) in the total number of staff should be 10%, in federal universities – 25%, national research universities – 40%, leading classical universities – 45%. This category of workers should be completely freed from teaching, and it is she who should generate the new knowledge that teachers will relay to students.

Of course, these figures are indicative and subject to public discussion. However, the existence of special statuses for universities without corresponding scientific obligations seems at least strange.

Another important difference between the Russian system of university positions and Western counterparts is that almost all foreign universities have an additional system of gradation of positions. As a rule, this is manifested in the presence of three levels in the remuneration of workers in each category – lower, middle and upper. We emphasize that a more detailed job and salary scale for university employees, taking into account three ranks of each job category, operates in almost all countries of the world: Australia, Israel, Italy, Norway, Malaysia, Nigeria, South Africa, Saudi Arabia, China, etc. A typical example of such a system in Israel is shown in Table 1; payment of the lowest level is taken as 100%.

In our country, as you know, there is still a single rate for a specific university position – assistant, lecturer, senior lecturer, associate professor and professor; no additional gradations are provided for these positions. In other words, foreign pay systems for university employees contain more degrees of freedom, and, consequently, more incentives. This ensures the continuity and smoothness of career growth: a person, even within the framework of his position, receives periodic promotions, which ensures an active vertical rotation of personnel. Otherwise, the employee “gets stuck” within the framework of the received position for many years without any progress in career growth and earnings. In Russia, this is one of the important problems that causes stagnation in the motivation of teachers for further professional development.

Attention should be paid to the existing proportions in the earnings of university employees and other employees. In almost all countries of the world, a relatively high level of remuneration of employees of universities and scientific institutions is observed. As a rule, a professor’s salary is about 2.5 times the national average, and a lecturer’s salary is slightly higher than the average. As a typical example, consider the system of remuneration in the universities of the Czech Republic (Table 2).

The given proportions are close to those specified in the “road map” of the Government of the Russian Federation for 2017-2018. Thus, the Russian authorities are trying to bring the country’s researchers to international standards (proportions) of remuneration, which indicates the right choice of the vector of reforms.

We have an offer!

It seems to me justified and useful to use in universities, as well as research institutions in Russia, a detailed gradation of positions by analogy with table 1, as well as a relative salary scale by analogy with table 2. In this case, the recommended remuneration system for university employees can be presented in the form of Table 3, where the relative salary is a guaranteed salary (base salary), which, in accordance with the recommendations of the Russian Ministry of Education and Science, should be 70% of the total income of university employees. By analogy, we can propose a similar tariff scale for university employees in relation to incentive payments, which, in accordance with the recommendations of the Russian Ministry of Education and Science, should be 30% of the total income of university employees (Table 4).

The presented figures are calculated on the basis of the existence of a certain “reference” department, in which reasonable proportions in the availability of employees of the corresponding positions are strictly observed.

A similar gradation can be proposed for the “reference” laboratory in research organizations in Russia and scientific departments of universities (Tables 5 and 6).

Implementation of the proposed pay scale should be accompanied by the appropriate provisions of an effective contract, which should specify the procedure for increasing the rank of an employee within the designated position, including the minimum duration of stay in the status of one rank, as well as the conditions that must be met for promotion and rank.