AI tools can now clean large health datasets, write statistical code, scan reports for early signs of outbreaks and summarize research. Epidemiologists still design studies, decide what the data means and tell health workers, policymakers and the public what to do about it.
The short answer: current evidence points to AI speeding up analysis, not replacing epidemiologists. The ILO's 2025 index rates biologists and related professionals, the closest group for epidemiologists, at gradient 2 with a score of 0.40. The US Bureau of Labor Statistics projects 19 percent growth for epidemiologists from 2025 to 2035, much faster than average, with about 800 openings a year. Projections are estimates, not guarantees.
How exposed epidemiologists are
The International Labour Organization scores occupations' tasks from 0 (cannot be automated with generative AI) to 1 (could be done without a human operator), and groups them into gradients from 1 to 4, with 4 the most exposed; below them sit minimal exposure and not exposed (ILO Working Paper 140, 2025).
| Occupation (ISCO-08) | ILO category | Mean task score (0 to 1) |
|---|---|---|
| Biologists, Botanists, Zoologists and Related Professionals | Gradient 2 | 0.40 |
The ILO scores groups of occupations, so this is the closest group for epidemiologists, not a score for the job title itself.
What the BLS projects
| Occupation | Projected change 2025 to 2035 | Openings a year |
|---|---|---|
| Epidemiologists | Grow 19% | About 800 |
The BLS expects demand to rise as better healthcare technology lets researchers discover new and emerging diseases, which then need study. It notes that many jobs are in state and local governments, providing public health services and responding to emergencies, and says skill with large databases and statistical software is critical. Its outlook does not mention AI.
Where AI is helping
- Cleaning and linking large health datasets.
- Writing and checking statistical code.
- Scanning reports and records for unusual patterns.
- Summarizing published studies.
What stays with epidemiologists
- Study design: asking the right question and avoiding bias.
- Interpretation: telling cause from coincidence in messy data.
- Public communication: explaining risk to officials and the public.
- Checking AI help: generated code, numbers and citations can be wrong, which NIST calls confabulation (NIST AI 600-1). See checking AI output.
How the job is changing
Data work gets faster, and more of the job is judgment, study design and explaining results. Health data is sensitive, so privacy rules limit what can go into AI tools. This page is general information, not medical advice.
See also will AI replace statisticians?, will AI replace data analysts? and will AI replace scientists?
Pay and how to get in
The US Bureau of Labor Statistics puts the median annual pay for epidemiologists at $87,220 in May 2025, against $50,980 for all workers. The typical education needed to enter is: master's degree. See how this job compares in AI exposure by pay and AI exposure by education level.
Questions and answers
Will AI replace epidemiologists?
Not on current evidence. The closest ILO group is gradient 2, and the BLS projects 19 percent growth from 2025 to 2035.
Why is epidemiologist employment growing?
The BLS points to new and emerging diseases found through better healthcare technology, and to public health work in state and local governments.
How many epidemiologist openings are expected?
The BLS projects about 800 openings a year.
What epidemiology work stays human?
Study design, interpreting data, explaining risk to the public and checking AI-generated code and numbers.