Research Associate

The MRC Biostatistics Unit is one of Europe's leading biostatistics research institutions. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health.

This position is to work with Dr Pavel Mozgunov within the Efficient Study Design (ESD) research theme of the MRC Biostatistics Unit (BSU).

The post-holder will contribute to the research programme on (i) developing efficient adaptive clinical trial designs for early phase dose-finding clinical trials, (ii) developing framework for the comprehensive evaluation of trial designs based on simulations. The post-holder will also have an opportunity to contribute to the support of planning of innovative clinical trials.

Key responsibilities:

The job will primarily involve the development of statistical methodology for early phase dose-finding clinical trials.

Specific duties will include:

• To develop novel statistical methods for the design of adaptive dose-finding clinical trials.
• To derive analytical results for the developed methodology and frameworks for its comprehensive evaluation.
• Developing R-packages and R Shiny Apps for dose-finding designs.
• To present scientific work at conferences and internal and external seminars.
• To write scientific papers and contribute to the overall preparation of research for publication.

The starting date for the post is the 1st of March 2026 or as soon as possible thereafter.

Informal enquiries can be addressed to Dr Pavel Mozgunov (pavel.mozgunov@mrc-bsu.cam.ac.uk).

The Unit is situated on the Cambridge Biomedical Campus, one of the world's most vibrant centres of biomedical research, which includes the University of Cambridge's Clinical School, two major hospitals, the MRC Laboratory of Molecular Biology, and the world headquarters of Astra Zeneca.

The Unit is actively seeking to increase diversity among its staff, including promoting an equitable representation of men and women. The Unit therefore especially encourages applications from women, from minority ethnic groups and from those with non-standard career paths. Appointment will be made on merit.

The Biostatistics Unit is committed to supporting hybrid working for all staff, but we do expect that staff will work from the office on a regular basis to help integration and to build our fantastic scientific community. Working entirely from the office is possible.

We welcome applications from those wishing to work part-time.

Please quote reference SL47331 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.