Research Scientist
Research scientists design and conduct experiments to advance knowledge in fields such as biology, chemistry, physics, and environmental science. In East Africa, they play a crucial role in addressing local challenges like disease outbreaks (e.g., malaria, Rift Valley fever), agricultural resilience, and water purification. They work in universities, government labs (e.g., KEMRI, ILRI), and private R&D centers.
By 2026, AI tools have transformed data analysis and hypothesis generation, but human creativity, experimental design, and ethical judgment remain essential. Scientists increasingly use machine learning to analyze large datasets from genomics or climate models, yet the need for hands-on lab work and contextual understanding of African ecosystems keeps the role's AI risk moderate. Automation of routine measurements and literature reviews frees researchers to focus on novel problem-solving.
- AI exposure
- 90 of 100, high exposure
- Hiring trend
- Growing
- Hiring rate
- 78%
- Minimum education
- Bachelor
The role
What the work is, what it pays, and what it costs you.
At a glance
- Work environment
- Labs, field stations or universities; equipment intensive and protocol driven.
- Remote friendly
- Yes
- Freelance potential
- Low
- Time to senior
- 6 years
- Adaptation level
- Moderate
A day in the role
A research scientist in Kenya begins by reviewing literature and planning experiments in a lab or field setting, often studying crop diseases or water quality. They collect samples, analyze data using statistical software, and collaborate with local universities to publish findings that inform agricultural or health policy.
What it pays
Kenyan market, per month- Entry
- KES 800,000
- Mid
- KES 1,800,000
- Senior
- KES 3,500,000
The trade offs
In its favour
- High potential for impact on Kenya's development issues like agriculture and health, with growing government and NGO funding.
- Opportunities for international collaboration and publishing, which can lead to global recognition and travel.
- Intellectual stimulation and freedom to pursue curiosity-driven questions, with a supportive academic community.
- Work schedule is generally flexible, allowing balance of research and personal time, though deadlines can be tight.
Against it
- Compensation is low compared to private sector; a mid-career scientist may earn Ksh 120,000–180,000 monthly, barely above cost of living in Nairobi.
- Laboratory infrastructure is often underfunded and equipment may be outdated, requiring constant improvisation.
- Career progression is slow and dependent on grant funding, with many researchers stuck in contract positions.
In practice
Earn a bachelor's degree in a relevant science (biology, chemistry, or physics) from the University of Nairobi or Kenyatta University, then pursue a master's at KEMRI or ICIPE to gain advanced research skills. Apply for entry-level research assistant positions at government institutes like KEMRI in Nairobi or the Kenya Plant Health Inspectorate Service (KEPHIS). Hands-on lab experience through university attachments and a strong academic record are key entry steps.
Start as a research assistant earning KES 60,000 per month, then after a master's or PhD, advance to research scientist (KES 120,000–180,000) within 5–7 years. With 10 years of experience and a PhD from local or international institutions, you can become a principal investigator at KEMRI or a senior lecturer at a university, earning up to KES 350,000. Specialization in tropical diseases, agricultural biotechnology, or climate science opens leadership roles.
Kenya's research science sector is anchored by KEMRI (Kenya Medical Research Institute) in Nairobi, the International Livestock Research Institute (ILRI) in Kabete, and ICIPE in Kasarani. Other key employers include university labs (UoN, JKUAT) and pharmaceutical companies like GlaxoSmithKline. Major growth drivers are global health funding from the Wellcome Trust and Bill & Melinda Gates Foundation, with research hubs in Kilifi, Kisumu, and Thika.
Your workday begins at KEMRI's Center for Global Health Research in Kisumu, running a PCR analysis on malaria samples. Mid-morning, you meet with a PhD student from Maseno University to review her field data. After a lunch break at the institute's cafeteria, you draft a grant proposal for a maternal health study funded by the Wellcome Trust. The afternoon involves cleaning data in Stata and analyzing results, then reading a journal article on emerging infectious diseases before heading home.
Exposure
How much of this a machine can already do, and how that was worked out.
Where this rating sits
1,516 rated careersRated above 100% of the 1,516 careers in the catalogue, which averages 43. Inside science the mean is 45, across 71 careers.
What the rating is made of
Share of recorded tasks- Machine does it
- 39%Software can already complete this work end to end.
- Machine assists
- 28%A person still decides, but the drafting is done for them.
- Person does it
- 33%Judgement, relationships and accountability that do not transfer.
Named task by task
Already automated
- High-throughput data processing and pattern recognition from genomic or climate data
- Automated literature synthesis and summarization with LLMs
- Routine lab assay execution via robotic platforms
- Statistical analysis and model fitting
Still human
- Formulating research hypotheses and designing novel experiments
- Interpreting unexpected results and pivoting experimental approaches
- Collaborating with local communities for field studies and ethics
- Mentoring junior scientists and students
Your skills, sorted
24 skills recordedWorth more with the tools
- Research Methods
- Climate Modeling
- Genomics Research
- Biotechnology Research
- Geospatial Analysis
- Food Security Research
- Research Methods and Data Analysis
Holding their value
- Statistics
- Mathematics
- Environmental Monitoring
- Environmental Chemistry
- Enzymology
- Protein Purification and Characterization
- Molecular Biology Techniques
- Cell Culture and Microbiology
The six things it was scored on
0 to 100 each- Digital surfaceraises exposure
- 80
- People and inventionlowers exposure
- 80
- Rule bound thinkingraises exposure
- 55
- Regulatory stakeslowers exposure
- 55
- Physical presencelowers exposure
- 40
- Routine intensityraises exposure
- 35
How much of the work already happens inside software.
Work that needs trust, persuasion or an original idea.
Decisions that follow a procedure rather than a judgement.
Where a named person has to carry the liability.
Work that has to happen in a place, with hands.
How much of it repeats in the same shape each time.
Task counts
- Tasks recorded
- 9
- Automatable now
- 2
- Still human
- 5
- Displacing
- Routine assay and literature screening,Standardised data processing
- Augmenting
- Hypothesis generation and literature synthesis,AlphaFold-style structural prediction,High-throughput data analysis
- Creating
- AI-for-science roles,Biotech and genomics roles,Research-data engineering
Sources
Behind the rating- Frey & Osborne (2013), 'The Future of Employment', Oxford Martin
- McKinsey Global Institute, 'The Future of Work' (2017/2023)
- OpenAI/UPenn, 'GPTs are GPTs' (2023), occupational LLM exposure
- WEF, 'Future of Jobs Report' (2023)
Getting in
The routes into the role and what each one asks for.
What to study
8 courses- Diploma in Dairy TechnologyKsh 64,120a year
- Craft Certificate in Food Processing and Preservation TechnologyKsh 67,189a year
- Diploma in Analytical BiologyKsh 67,189a year
- Diploma in Analytical ChemistryKsh 67,189a year
- Diploma in Applied BiologyKsh 67,189a year
- Diploma in Food Science and TechnologyKsh 67,189a year
- Diploma in Petroleum and GeoscienceKsh 67,189a year
- Diploma in Science Laboratory TechnologyKsh 67,189a year
How people get in
University Degree (BSc + MSc)
6 yearsHigh cost
BSc in Biology, Chemistry, or Physics followed by MSc in a specialized field from UoN or KU
PhD Track
8-10 yearsHigh cost
Direct entry into PhD after undergraduate with full scholarship opportunities (e.g., DAAD, RUFORUM)
Research Internship
1-2 yearsLow cost
Gain lab experience through internships at KEMRI, ILRI, or ICRAF, often leading to full-time roles
Certifications
Good Clinical Practice Certification
NIDAKsh 15,0001 months
Research Ethics Course
AMREFKsh 8,0001 months
IBM Data Science Professional Certificate
IBMKsh 20,0006 months
Tools of the trade
LaTeX
codeNice to haveFree
Google Earth Engine
cloudBonusFree
Microsoft Excel
spreadsheetRequiredPaid
Python
codeNice to haveFree
QGIS
engineeringNice to haveFree
R
analyticsNice to haveFree
SPSS
analyticsRequiredPaid
Zotero
databaseRequiredFree
Who hires
Interview preparation
3 questionsDesign an experiment to test the efficacy of a local plant compound against a pesticide-resistant crop pest common in East Africa.
TechnicalMid
Outline controlled laboratory and field trials, include positive/negative controls, use statistical methods like ANOVA, and consider ethical use of local knowledge. Reference pests like fall armyworm.
How have you communicated complex scientific findings to policymakers in Kenya to influence agricultural policy?
BehavioralMid
Describe creating policy briefs with clear visuals, avoiding jargon, and engaging stakeholders through workshops. Mention success in influencing adoption of sustainable practices.
Your lab's equipment is outdated due to budget cuts, but you have a groundbreaking hypothesis. How do you proceed?
SituationalMid
Seek collaborations with universities or private labs, apply for grants (e.g., from National Research Fund Kenya), use open-source or open-access resources, and adjust methodology to available tools.
Common misconceptions
Research scientists only work in labs
Many work in field studies, policy, or science communication. Travel is common.
Salaries are very low
Senior scientists at international institutions earn KES 200,000+/month plus benefits.
What happens next
How the role changes from here, and where it leads.
How the role changes
2024-2030Expect steady augmentation rather than wholesale replacement. 5 higher-value tasks remain human-led for years to come. Practitioners who embrace AI tools will out-earn those who don't.
- 2024already here
AI copilots augment daily work; productivity gains for adopters.
- 2027projected
Augmentation deepens; some routine sub-tasks automated.
- 2030projected
Practitioners who pair domain expertise with AI tools pull ahead.
The near term
AI is a productivity tailwind through 2028 — ~77% tool adoption, minimal net job loss for those who adapt.
- AI copilots become standard (~77% adoption by 2028)
- ~35% of repetitive sub-tasks automated
- Role shifts toward review, judgement, and orchestration
- Scientific computing becomes a differentiator
- Elicit / Consensus adoption reshapes daily workflows
- What to do
- In this role, get fluent with AI copilots in the next quarter like Elicit / Consensus and AlphaFold / RoseTTAFold, and reposition around what AI can't do — Scientific computing, ML for science, and complex problem-solving. Net effect is productivity, not job loss, for those who adapt.
Where pay is heading
2024 to 2030Monthly pay in Kenyan shillings, rounded to the nearest thousand. These are projections, not observations.
Growth outlook
- Net demand change
- 13
- Over
- 2024-2030
- Drivers
- Growing R&D and biotech,Climate and health research
- Headwinds
- Funding cycles
Supply and demand
- Demand
- 78
- Supply pressure
- 24
- Balance
- High demand
What to learn
- Scientific computing
- ML for science
- Research data management
Tools worth knowing
Elicit / Consensus
Priority: Essential
AI literature review
AlphaFold / RoseTTAFold
Priority: Recommended
Protein structure prediction
ChatGPT / Claude (Advanced Data Analysis)
Priority: Essential
Data analysis and coding
Where people move next
5 recorded movesLine length under each name is the distance of the move: shorter means more of what you already do carries over. Marked lines are steps up rather than sideways.
- Healthcare Administrator
Challenging40% skill overlap
Transitioning from research to healthcare administration requires building management and healthcare regulatory knowledge, while leveraging analytical skills.
- Iot Developer
Challenging30% skill overlap
Moving to IoT development demands new skills in embedded systems and hardware-software integration, with limited direct overlap from research science.
- Systems Analyst
Moderate60% skill overlap
Leverage strong analytical and problem-solving skills from research to analyze system requirements and bridge business needs with technology.
- Research And Development Manager
Easy85% skill overlapPromotion
A natural promotion into managing research teams, building on deep technical expertise and adding leadership and strategic planning skills.
- Nonprofit Tech Lead
Moderate50% skill overlap
Combine technical research skills with a mission-driven focus, requiring adaptation to nonprofit operations and resource constraints.
Related careers
Kenyan market notes
Research institutions like KEMRI, ICIPE, and universities dominate employment. Funding often comes from international partners. The field is competitive, with PhD increasingly required for senior roles.
Further reading
- Coursera
- edX
- Nature Masterclasses
- Google Scholar
- ResearchGate
- ORCID
- Kenya Medical Research Institute (KEMRI)
- International Livestock Research Institute (ILRI)
- World Economic Forum - The Future of Jobs Report 2025
- Kenya National Bureau of Statistics - Labour Force Report 2025
- McKinsey Global Institute - The Future of Work in Africa
This role is rated 90 out of 100 today. Save it and the app keeps that number, then tells you by how much it has moved when the record is next reviewed.