Research Associate (Fixed Term)

The University of Cambridge is one of the world's oldest universities and leading academic centres. If you're looking for a new challenge and would like excellent benefits, extensive learning opportunities and a stimulating working environment in return for your skills and contribution, there could be a job here for you.

An opportunity has arisen for a talented researcher with an interest in genetic epidemiology and/or causal inference 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.

Depending on the interests and skills of the postholder, the role could focus on any combination of the following: i) embarking on a major methodological project in a major substantive area of relevance to Mendelian randomization; ii) addressing several smaller methodological questions of applied relevance to the practice of Mendelian randomization; iii) leading complex applied analyses. The postholder will be expected to play a major role in the work of the research group, through the conduct of research, introduction of new ideas, dissemination of research results, and the support and training of others.

We have an open mind as to the skills profile of a successful candidate for this advert. Experience of leading methodological or complex applied projects would be desirable. An understanding of Mendelian randomization and/or causal inference would be advantageous but not essential; full training will be given. In particular, no prior knowledge of genetics is required. Most important are 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 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.

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

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.

There are funds available for single appointment. Successful candidates will be appointed to a 3-year fixed term position at Research Associate (Grade 7). The start date for this role would be from 1st April 2024 (or later if agreed with the successful candidate).

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

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 December 2023

The interview date for the role is: To be confirmed

Please quote reference SL39436 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.

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