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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 EXPOSURE TODAY22
20-YEAR SCENARIO
NOT A FORECAST67%
THE DOOR · ENTRY DIFFICULTY TODAYB
STARTING PAY£28,000 - £33,000
NO MOATNo physical, legal or personal barrier protects this work from software.

THE DOOR: ENTRY DIFFICULTY TODAY, graded A (easy) to E (extremely hard). A Careermash rule-of-thumb index built from our AI exposure index and the job's moat class. It is not a forecast and not a count of job openings.

AI EXPOSURE TODAY is a Careermash index from 0 to 100 of how exposed this job's everyday tasks are to AI today. We estimate it by matching published research on how people use AI to this job, usually by keyword or subject area, and we lower it where the work is protected (for example by physical, personal or legal requirements). It is not a direct measurement of how much people in this job use AI.

AI helps here, but has not taken over
AI exposure for this job is below 50 on our index, and 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.

The role

As a biostatistician, you work on medical research teams using numbers and maths to answer important health questions. You help plan studies, collect data, and work out what the numbers are telling you about whether a new medicine works or a treatment is safe.

You spend time planning how to gather the right kind of data so it is fair and honest. Then you use computer software and your maths skills to look at it - checking for patterns, spotting problems, and making sure what you found is real and not just chance. You write clear explanations of what the numbers mean so doctors, patients and decision-makers understand what the research found.

Daily responsibilities

  • Design and implement statistical studies to test hypotheses related to clinical trials.
  • Analyze and interpret data using advanced statistical software, such as R or SAS.
  • Collaborate with clinical researchers to develop protocols and ensure data integrity.
  • Prepare comprehensive reports and presentations to communicate findings to stakeholders.
  • Conduct quality control checks to validate data and ensure accuracy in analyses.
  • Stay updated on the latest statistical methodologies and regulatory guidelines.
  • Provide statistical support for grant applications and research funding proposals.

Does a degree help here?

A UK degree in Biological Sciences or a related field equips candidates with a robust understanding of both statistical methods and biological principles, making them highly sought after in the UK job market. The emphasis on research and practical experience in UK universities prepares graduates to tackle real-world challenges effectively.