Senior Research Associate in Genetic Epidemiology

The role

The MRC Integrative epidemiology unit is seeking a talented genetic epidemiologist to contribute to the future development of methods for causal inference with genetic instrumental variables. This role will be specifically focused on developing methods that improve causal inference by integrating genetic instrumental variables with molecular annotations. This integration will improve the resolution in which complex modifiable exposures can be instrumented. As the role holder you will apply the methods developed to a range of epidemiological data to improve causal inference for complex traits and diseases.

What will you be doing?

The main duties for this role will be;

• Developing methods for instrument stratification
• Preparing molecular, genetic and phenotypic data from large population cohort studies for analysis
• Performing Mendelian randomisation analyses using common and rare genetic variants
• Developing and testing analytical code to ensure robust and replicable analyses
• Building relationships with external collaborators

You should apply if

• You are an enthusiastic genetic epidemiologist who is interested in integrating molecular data with methods for causal inference
• You have experience of working with high dimensional data
• You have experience of coding using R, Python, Perl, C or similar
• You have good oral and written communication skills
• You have a track record of publishing high quality research

Additional information

Contract type: Open ended

Work pattern: Full time / 1fte

Grade: J Pathway 2 

Salary: £39,745 - £44,737 per annum

School/Unit: Bristol Medical School

Shift pattern: 35 hours per week 

This advert will close at 23:59 GMT on 14/02/2023

For any informal enquiries please contact Eleanor Sanderson: Eleanor.sanderson@bristol.ac.uk

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