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University of Bristol
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Bristol, Bristol
Research Associate or Senior Research Associate In Genetic Epidemiology - MRC Integrative Epidemiolo
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Job Type: Full-time |
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Salary: £33,797 to £38,017 per annum / £38,017 to £42,792 per annum |
Overview
RESEARCH ASSOCIATE OR SENIOR RESEARCH ASSOCIATE IN GENETIC EPIDEMIOLOGY - MRC INTEGRATIVE EPIDEMIOLOGY UNIT (IEU) Job number ACAD104533 Division/School - Bristol Medical School Contract type - Open Ended Working pattern - Full time Salary £33,797 to £38,017 per annum / £38,017 to £42,792 per annum Closing date for applications 26-Apr-2020 We have a fantastic opportunity for a talented postdoctoral researcher to join the world-leading 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. The post will build on our recent work using Mendelian randomization to identify influences on prognosis in those with existing disease, and development of methods to overcome sources of bias in such studies. You will take a lead role in applying novel methodologies for genome-wide association and Mendelian randomization in the context of disease progression phenotypes. Within the MRC IEU we have access to several genetic datasets of disease progression phenotypes, including from large cohorts (e.g. in the CHARGE consortium) and clinical trials (from collaborations with Pharmaceutical partners). You will work closely with international collaborators, including the opportunity to spend time on extended research visits to the U.S. You will also collaborate with a large range of researchers in the MRC IEU and further afield. You will have, or soon be awarded, a PhD in statistical genetics, genetic epidemiology, medical statistics or epidemiology or a related subject, and will have peer-reviewed research outputs either published or in press. You will have skills in statistical programming languages (such as R) and experience in working with large-scale genetic datasets. You will have expertise in applied statistical analysis and will preferably have an understanding of genome-wide association and Mendelian randomization methods. For informal enquiries please contact Dr Lavinia Paternoster or 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.