Senior Research Associate, University of Cambridge

The MRC Epidemiology Unit is seeking to appoint a Senior Research Associate in Statistical Genetics. We are looking for a candidate with considerable experience in the analysis of genome-wide data to uncover and interpret genetic associations with diabetes and related traits.

This is an open-ended position working in the Unit’s Growth & Development research programme and interacting closely with the Unit’s Aetiology of Diabetes programme. The focus of the post is to provide expert statistical genetics support, utilising large-scale population studies (such as UK Biobank) for the identification of genetic determinants, genes and mechanisms relevant to Type 2 diabetes, obesity and related traits and disorders. The post holder will work with research teams across a broad range of projects, contributing towards analysis, interpretation of findings and subsequent publishing of results. They will be responsible for evaluating new analytical approaches in the literature and establishing computational pipelines for broader use by the research teams. They will have access to large-scale genomic data in deeply-phenotyped studies, including various ‘omics’ measurements and linkage to electronic health records in thousands of individuals.

The MRC Epidemiology Unit is a department within the University of Cambridge’s School of Clinical Medicine and is situated in the Institute of Metabolic Science on the Cambridge Biomedical Campus. Its mission is to study the genetic, developmental and environmental factors that cause obesity, diabetes and related metabolic disorders and develop strategies for their prevention. The Unit benefits from a number of large-scale, cross-programme epidemiological studies with detailed phenotyping coupled with genome-wide genotyping. Highly experienced information teams and other specialist teams support the scientists in the delivery of their research aims.

The successful candidate will have a PhD in epidemiology, statistics, computational biology, or closely-related field and considerable experience in genome-wide analytical approaches. Applicants will also have excellent verbal and written communication skills and will be motivated, independent individuals with expertise in the handling, analysis and interpretation of large-scale, multidimensional datasets.

The Appointment to Senior Research Associate is subject to approval by the Faculty Board of Clinical Medicine.

For informal enquiries, please contact John Perry (, Claudia Langenberg ( or Ken Ong ( For questions about the application process, please contact

The post is full-time but applications are welcome from those who would like to work flexibly

To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

The closing date for applications is Sunday 24th March 2019. Interviews will likely be held on Monday 1st April 2019.

Please ensure that you upload a detailed curriculum vitae and a letter of application indicating how you would contribute to the responsibilities of the post.

Please quote reference SJ18261 on your application and in any correspondence about this vacancy.

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