Senior Research Associate in Health Data Science

The role

You will join the vibrant interdisciplinary research environment in the MRC Integrative Epidemiology Unit (IEU) on a collaborative project with Biogen Inc to prioritize drug targets for neurological diseases.

You will work on the application of Mendelian randomization (MR) and genetic colocalization to drug target prioritization. The project will use the MR-Base (www.mrbase.org) platform, IEU OpenGWAS database (gwas.mrcieu.ac.uk) and EpiGraphDB (www.epigraphdb.org) platform developed within the IEU.

You will benefit from the collaborative multi-disciplinary research environment of the MRC Integrative Epidemiology Unit (IEU) within Bristol Medical School, with access to a range of training and career development opportunities.

What will you be doing?

You will implement MR and colocalization approaches using these platforms, applying these to specific drug targets and systematic target screening.

You will develop R packages to support this type of systematic analysis and develop a pipeline for MR, colocalization and mediation analysis using molecular traits. 

Collaboration with Biogen is a central component of the role, and the SRA will be involved in regular meetings with the Biogen team.

You should apply if

• You have experience in data science, molecular/genetic epidemiology, statistical genetics, medical statistics and/or causal analysis methods.
• You have experience of applied statistical analysis, ideally working with genetic association study data.
• PhD in statistics, genetic epidemiology or a related or relevant field or equivalent research experience
• You have strong computing/scripting skills (especially in R).
• You have the ability to work effectively in a multi-disciplinary environment.

Additional information

Contract type: Fixed term funding available from 01/02/2023 until 31/07/2023

Work pattern: Full time / 1FTE

Grade: J/ 2

Salary: £39,745 – £44,737 per annum

School/Unit: Bristol Medical School

Shift pattern: 35h per week 

This advert will close at 23:59 GMT on Tuesday 28th February 2023

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