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CAREERMASH (EN)FROM BIOLOGICAL SCIENCES →

Biostatistician

Biostatisticians use maths and numbers to understand health data. They help design medical studies, check if new medicines work, and make sure research is done fairly and safely.

Biostatistician

22

Biological Sciences

AI IMPACT
AI CAN DO22%moving to67%
THE DOOR, NOWB
THE DOOR, 20 YRSD
STARTING PAY£28,000 - £33,000
NO MOATNo physical, legal or personal barrier protects this work from software.
AI helps here, but has not taken over
AI can already do some of this job, but the day-to-day work still leans on a person to decide, check and take responsibility. Nothing formally protects this job though, so the safest move is to keep building the judgement AI cannot yet copy.

Career progression path

1FIRST STEPJunior BiostatisticianIn this entry-level role, you will assist in data collection and preliminary analysis under the supervision of senior biostatisticians. You will gain hands-on experience with statistical software and learn the fundamentals of clinical trial design.£28,000 - £33,000
2GAINING EXPERIENCEMid-level BiostatisticianAs a mid-level biostatistician, you will take on more complex projects, leading the statistical analysis for clinical trials and contributing to study design. You will mentor junior staff and collaborate closely with cross-functional teams.£36,000 - £45,000
3PEAK CAREERSenior Biostatistician/Head of BiostatisticsIn this peak career position, you will oversee biostatistical operations, guiding research strategy and ensuring compliance with regulatory standards. You will be a key decision-maker in the organisation, influencing research directions and outcomes.£50,000+
Careermash

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AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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