This biostatistician CV example shows a clear template with UK-specific examples and formatting tips you can follow to present your skills and research outcomes in the UK job market. You will learn how to write a concise professional profile, structure your experience, and highlight technical skills so hiring managers and recruiters can quickly see your value.
The guidance focuses on practical, actionable steps you can apply to your own CV in the UK context, including NHS and academic opportunities.
Building a Biostatistician resume?
Skip the blank page. Start with a template built for this role, then tailor it for each job you apply to.
Tip: use the template as a starting point, then swap in your own numbers and project names.
Why this biostatistician CV example works
This example emphasises measurable outcomes and reproducible methods, which matter in UK biostatistics roles across the NHS, academia, and industry. You should prioritise projects and results that demonstrate statistical thinking, such as effect sizes, confidence intervals, model performance metrics, or reductions in error rates.
UK employers and principal investigators look for evidence you can translate data into interpretable findings, so keep results concrete and quantifiable.
The layout is clean and scannable, with a strong header, a concise professional profile, a focused experience section, and a skills block. You should make the top of your CV count since many reviewers form an impression in 6 to 10 seconds.
Clear headings and consistent formatting help reviewers locate your key contributions quickly. The template also aligns with UK conventions for listing qualifications, professional memberships, and publications.
How to format your biostatistician CV
Follow a clean, UK-friendly CV layout. In the United Kingdom, a concise CV of one to two pages is typical for most applicants; use two pages if you have extensive publications or leadership experience.
Use A4 page size, standard margins, and fonts around 10 to 12 point for body text, with headings slightly larger.
Include clear section headings and white space to aid scanning. Save the file as PDF to preserve layout across devices, unless a job posting asks for another format.
Organise sections in this order unless you have a reason to change it: contact details and title, profile, skills, experience, education, selected projects and publications, and professional certifications.
For healthcare roles, reference any NHS pay band on the CV only if requested; otherwise discuss salary later. Bullet points should be concise, start with strong action verbs, and focus on contributions and outcomes.
Mention right-to-work status in the header or a brief line.
Biostatistician CV example: Summary and headline
Write a clear headline that states your role and area of expertise, for example Senior Biostatistician, Clinical Trials or Biostatistician, Genomics. Follow the title with a two to three sentence professional summary that highlights your domain, UK experience, and key strengths, such as statistical modelling, regulatory submissions, data governance, or trial design.
Mention collaboration with NHS trusts, universities, or industry sponsors and any experience with ethics approvals or data protection.
Use a UK education frame, listing highest degrees (e.g. MSc or PhD in Biostatistics) and the awarding institutions, with emphasis on Russell Group universities where applicable.
If relevant, include right-to-work status and whether visa sponsorship would be required.
You can touch on salary expectations or pension auto-enrolment, but save detailed salary discussion for during the recruitment process. Tailor the CV to the role and keep focus on evidence of impact and reproducibility.
Additional Tips
- 1Use action verbs and follow each verb with the method and the measurable outcome when possible to craft impactful bullets.
- 2Prepare a one-page CV or portfolio link for interviewers who want deeper detail on specific trials or publications.
- 3Provide a short README or summary for any public code you link so reviewers can reproduce key analyses without digging through files.

