3-Year Fully Funded PhD: Biostatistics & Data Science

3-Year Fully Funded PhD: Biostatistics & Data Science

Internship 29412 - 35948 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Conduct groundbreaking research in biostatistics and data science.
  • Company: Join the prestigious MRC Biostatistics Unit at the University of Cambridge.
  • Benefits: Fully funded PhD, travel funding, and training opportunities.
  • Other info: Exciting opportunity to collaborate with leading researchers in a dynamic environment.
  • Why this job: Make a real difference in biomedical research while advancing your academic career.
  • Qualifications: Strong degree in mathematics, statistics, or related fields; UK residency required.

The predicted salary is between 29412 - 35948 £ per year.

The Medical Research Council (MRC) Biostatistics Unit (BSU) at the University of Cambridge invites applications for a 3-year fully funded PhD studentship commencing January 2027. The position references SL49643 and includes departmental funding for travel and training.

Open to UK applicants with a strong degree in mathematics, statistics or related quantitative discipline; applicants should be eligible to live and study in the UK and demonstrate proficiency in quantitative methods for biomedical research.

3-Year Fully Funded PhD: Biostatistics & Data Science employer: RFCSR

At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our interdisciplinary approach not only encourages professional growth through diverse research opportunities but also allows you to make a meaningful impact in the fields of engineering and biomedical research. Located in the vibrant city of London, our institution offers a dynamic environment where creativity thrives and employees are supported in their career development.

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Contact Details:

RFCSR Recruitment Team

We think you need these skills to ace 3-Year Fully Funded PhD: Biostatistics & Data Science

Proficiency in Quantitative Methods
Strong Degree in Mathematics
Strong Degree in Statistics
Data Analysis
Biostatistics
Statistical Modelling
Research Skills