Research Associate (Statistical Genetics and Bioinformatics)

We have an exciting opportunity to appoint a talented and ambitious investigator to join The Centre for Genetics and Genomics Versus Arthritis (http://www.cfgg.manchester.ac.uk/) which is a centre of excellence dedicated to investigating genetic and genomic risk factors for inflammatory arthritis based at the University of Manchester. This post is jointly funded by the British Heart Foundation and Versus Arthritis and will initially focus on a project entitled “Cardiovascular health in patients with inflammatory joint diseases: a genetic approach to understanding excess mortality”. There will be further opportunities for the successful candidate to explore other areas of interest in the Centre.

You will have a background in statistical genetics, bioinformatics or health data science with a PhD (or equivalent) in a relevant subject. You will join a team of geneticists, clinicians and statisticians to better understand inflammation and inflammatory arthritis. You will have access to the Centre’s wealth of genetic, epidemiological and genomics data to lead statistical and bioinformatics analyses that investigate disease mechanisms with a particular focus on comorbidities initially.

The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. All appointment will be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality/

Happy to talk flexible working.

Blended working arrangements may be considered

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Dr John Bowes

Email: j.bowes@manchester.ac.uk

General enquiries:

Email: hrservices@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.