Can AI Replace Biostatisticians in 2026?

Moderate exposure. AI could handle about 84% of today's biostatisticians tasks by 2036, and there is a 49% chance the number of jobs falls by a fifth or more. AI is likely to take over many tasks outright.

See how not to be replaced

Timeline

Year2030

Tasks AI can do

48%

Headcount (2025 = 100)

Chance of 20%+ fewer jobs

16% 2030 · 49% 2036

One person could cover, 2036

3.6 roles

Share of today's tasks AI can perform

Headcount index, 2025 = 100 (dashed line)

Your survival map

Not every part of your job is at the same risk. Tap a number to see what to do about each task.

Your human coreDo it with AIHand to AI

Tap a number on the map or a task below.

Lower-risk jobs that use similar skills

Geneticists38% risk by 2036 Bioinformatics Technicians36% risk by 2036 Human Factors Engineers and Ergonomists36% risk by 2036

Your plan

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Try an AI tool on one task you'd normally do by hand: "Calculate sample size requirements for clinical studies".Learn one AI tool well enough to show it in an interview, for: "Draw conclusions or make predictions, based on data summaries or statistical analyses".Take on work where you sign off, decide or carry responsibility: that part stays human.Rewrite the top of your CV around judgment, people and decisions, not routine output.Read about a lower-risk move: Geneticists.

Lower-risk jobs with similar tasks

Geneticists — 38% chance of contraction by 2036
Bioinformatics Technicians — 36% chance of contraction by 2036
Human Factors Engineers and Ergonomists — 36% chance of contraction by 2036

Similar occupations

Bioengineers and Biomedical Engineers · Data Scientists · Survey Researchers · Statistical Assistants

Based on 25 O*NET tasks for "Biostatisticians" (SOC 15-2041.01). LLM alone: 32% of tasks; with AI tools: 100%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10