3-Year Fully Funded PhD: Biostatistics & Data Science

RFCSR; United Kingdom; On-site; GBP 18,000 - 22,000; Full time

Benefits offered by this job

Fully funded PhD studentship

Travel budget

Training budget

Job summary

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

Qualifications

• Strong quantitative, statistical, and mathematical background.
• Interest and aptitude for developing and applying innovative statistical and data science methodologies to real-world biomedical and public health challenges.
• Proficiency in quantitative problem-solving and motivation for doctoral-level research.

Responsibilities

• Apply innovative statistical methods to real biomedical problems within public health contexts.
• Develop and evaluate data-science driven approaches for biomedical research questions.
• Contribute to doctoral-level research in biostatistics at the MRC BSU, Cambridge.

Skills

Strong quantitative background

Statistical methods

Mathematical background

Data science interest

Quantitative problem solving

Education

Strong degree in mathematics, statistics, biostatistics, data science, or related quantitative discipline

Job description

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