Research Scientist (R&D)
Research Scientists in R&D design and conduct experiments to advance knowledge in fields like agriculture, health, and technology. In Kenya and East Africa, they often address local challenges such as crop disease, climate resilience, and infectious diseases. As of 2026, AI tools assist with data analysis and literature review, but human creativity and domain expertise remain critical for hypothesis generation and experimental design. The role is adapting to incorporate AI-driven methods, but core scientific reasoning and ethical considerations sustain demand for skilled professionals.
- AI exposure
- 44 of 100, moderate exposure
- Hiring trend
- Growing
- Hiring rate
- 65%
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.
- Adaptation level
- Moderate
A day in the role
Designing and running experiments, lab/field work, data analysis, scientific writing and collaboration with research teams and funders.
What it pays
Kenyan market, per month- Entry
- 1,200,000
- Mid
- 2,500,000
- Senior
- 4,500,000
The trade offs
In its favour
- Frontier discovery; intellectually rich.
- Global collaboration opportunities.
Against it
- Grant-dependent; slow career progression.
- Publish-or-perish pressure.
In practice
BSc + MSc + PhD. Join a research institute (KEMRI, KALRO, ILRI, ICIPE) or university; publish and win grants.
Research scientist → senior → principal investigator → programme lead / professor.
Strong research ecosystem — KEMRI, KALRO, ILRI, ICIPE and universities. International collaboration is common.
Designing experiments, field/lab work, analysing data, writing papers and grants, mentoring juniors.
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 56% 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
- Literature synthesis
- Simulation runs
- Data analysis
- Hypothesis generation
Still human
- Research question framing
- Experimental design
- Field/lab work
- Interpretation and publication
- Funding and collaboration
- Mentoring
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
- 0
- Automatable now
- 0
- Still human
- 0
- 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
4 yearsHigh cost
BSc in the relevant science (Biology, Chemistry, Physics)
Master's / PhD
2-5 yearsHigh cost
Postgraduate study for research roles
Laboratory Technician
2-3 yearsMedium cost
Diploma + experience in research or industry labs
Certifications
PhD
Universities48 months
Research ethics (KEMRI/SERU)
SERUKsh 10,0001 monthsRequired
Tools of the trade
Python / R / MATLAB
dataRequiredFree
Specialised lab/field equipment
researchRequiredFree
Elicit / Consensus
researchRequiredFree
Who hires
Common misconceptions
Science graduates only become teachers.
They work in research, industry, health, energy, environment and data.
Pure science has no jobs in Kenya.
Kenya's labs, manufacturing, agriculture and energy sectors hire science graduates.
You must go abroad to do real research.
Kenya has growing research institutions and universities.
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. 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
Moderate AI change by 2028: productivity gains for adopters, with ~35% of routine work automated.
- 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
- Here, adopt the AI copilots for your field this year 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.
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
- 65
- Supply pressure
- 8
- Balance
- Balanced
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
Kenyan market notes
Opportunities are growing across Kenya's research and science sector, with the strongest demand in KEMRI, KALRO, ILRI, universities, and biotech startups. The sector is being shaped by health and agricultural research, genomics, and climate science.
Further reading
This role is rated 44 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.