Research Associate

An opportunity has arisen for a talented researcher with an interest in genetic epidemiology and drug development to join Dr Stephen Burgess's research group based at the MRC Biostatistics Unit in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three broad aims of the group are to develop statistical methods, run applied analyses that address important clinical questions, and disseminate methods in the area of Mendelian randomization, defined as the use of genetic variants to investigate causal risk factors for disease outcomes.

The postholder will have the opportunity to undertake applied research in relation to Mendelian randomization. We are particularly interested in applicants with a background in Mendelian randomization for drug target development in the field of psychiatry.

An understanding of Mendelian randomization, as well as a working knowledge of genetics, is thus essential. However, what is most important is an inquisitive mind and the desire to develop and apply statistical methodology to questions of substantive biological importance and disease relevance. The successful applicant will be supported in their career development with a range of formal courses and on-the-job training.

For an informal discussion about this post, please contact [email protected] . Please note that, while we can be flexible, some level of in-person work will be required; it will not be possible to undertake this position fully remotely. This position is part-time (22.5 hours per week).

The MRC Biostatistics 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. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health.

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.

Fixed-term: The funds for this post are available for 2 years in the first instance. The start date for this role would be from 1st August 2024 (or later if agreed with the successful candidate).

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.

Please ensure that you upload a covering letter and a CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

The closing date for applications is: 6th May 2024.

The interview date for the role is: To be confirmed.

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.