UNIVERSITY OF BRISTOL

Research Associate/Senior Research Associate in Statistical Genetics and Causal Inference

Location
Bristol, United Kingdom
Salary
£33,199 - £37,345 per annum (Grade I) / £37,345 - £42,036
Posted
04 Oct 2018
End of advertisement period
04 Nov 2018
Ref
ACAD103558
Contract Type
Permanent
Hours
Full Time

Division/School Bristol Medical School
Contract type Open Ended
Working pattern Full time
Salary £33,199 - £37,345 per annum (Grade I) / £37,345 - £42,036 per annum (Grade J)
Closing date for applications 04-Nov-2018

We are seeking a researcher with a background in statistical genetics, machine learning or network analysis to join Dr Gibran Hemani's research group based within the MRC Integrative Epidemiology Unit at the University of Bristol.

A major challenge in public health and drug development is inferring causal influences on complex traits and diseases to guide and develop effective interventions. Our group is working on exploiting genetic associations to make graphs of causal relationships across the human phenome. We will use these graphs to improve current causal inference techniques, and learn about genetic and epidemiological architectures in the population.

There are multiple facets to the project and the work undertaken by the successful candidate can be flexible depending on their skillset, ranging from method development in statistics, machine learning, network analysis and computation, to applied analysis for drug target prediction, genetic architecture or evolutionary modelling.

This is a 3-year post with possibility of extension. The role exists as a post-doctoral position on a Wellcome Trust funded Sir Henry Dale fellowship. The work will be in collaboration with Professor George Davey Smith (Bristol), the MR-Base team (Bristol), and collaborators at GlaxoSmithKline, the European Bioinformatics Institute and the Broad Institute. The successful applicant will be strongly supported in their career development, with extensive training opportunities in genetics, causal inference and data science. The department has an excellent track record of supporting researchers in gaining their own fellowships and research independence. There will also be opportunities for teaching and leading activities within a vibrant research environment.
Name, tel no and email details for informal contact/s: Gibran Hemani, g.hemani@bristol.ac.uk, 07930951876

We appreciate and value difference, seeking to attract, develop and retain a diverse mix of talented people that will contribute to the overall success of Bristol and help maintain our position as one of the world’s leading universities.

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