Research Fellow or Senior Research Fellow in Genetic Epidemiology

University of Bristol
Bristol, UK
31 Jul 2019
13 Aug 2019
Contract Type
Full Time
Research Fellow or Senior Research Fellow in Genetic Epidemiology

Job number ACAD104110
Division/School - Bristol Medical School
Contract type - Open Ended
Working pattern - Full time
Salary £43,267 - £48,677 per annum (Grade K) / £51,630 - £58,089 per annum (Grade L)
Closing date for applications 11-Aug-2019

We have an exciting opportunity for a talented researcher to join Professor George Davey Smith's research programme within the MRC Integrative Epidemiology unit (MRC-IEU) at the University of Bristol to work on the identification of causal risk factors for disease progression using large genetic datasets.

Most studies of disease aetiology have investigated disease onset as the outcome of interest. We hypothesise that there may be alternative mechanisms that influence the progression of disease after onset, which will be more relevant for the development of effective treatment. Within the MRC-IEU we have access to several genetic datasets of disease progression phenotypes, including from large cohorts and clinical trials (from collaborations with pharmaceutical partners) and have a programme of methodological development in this area, to deal with the statistical challenges of working with selected samples. This post provides the unique opportunity to test and apply novel methodologies for genome-wide association and Mendelian randomization in the context of disease progression phenotypes.

We are seeking either a Research Fellow or Senior Research Fellow (appointed grade level depending on experience) to join the programme. This post is offered as an open-ended contract with current funding available until 31st March 2023 and involves the opportunity to develop and lead your own research projects in this exciting area.

Suitable candidates will have a background in genetic epidemiology, statistical genetics or statistic, with experience using statistical programming languages (such as R) and working with large-scale genetic datasets.

We strongly encourage interested applicants to make informal enquiries to Prof George Davey Smith (

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.

Similar jobs

Similar jobs