Research Associate

Vacancy terms:

Full-time, part-time (minimum 0.6FTE, 22.5 hours per week) or job share considered, fixed term contract for 24 months

Hours per week: 37.5

Advert closes midnight on: 16 Feb 2025

About the role

The Department of Population Health Sciences at the University of Leicester are seeking a Research Associate to join the Genetic Epidemiology Group on a fixed term basis to lead analysis of genomic loci associated with quantitative lung function, as relevant to respiratory diseases. This will involve statistical genetic approaches, including genome-wide association studies of both array- and sequence-based data, plus post-GWAS in silico analyses to investigate mechanisms by which lung function-associated variants may contribute to risk of clinically relevant outcomes.

This work will be part of a Wellcome Trust Discovery Award grant, “Applying a multidisciplinary approach to defining molecular pathways in lung function impairment”, which aims to accelerate discovery of genetic risk factors for lung function impairment, and define the mechanisms and biological pathways underpinning the observed associations, in collaboration with the Universities of Nottingham and Cambridge. The overall programme will use a multidisciplinary approach to translate findings to new mechanistic understanding and therapeutic opportunities. Work Package 1 (the focus for this post) uses genomic data to discover lung function-associated variants, and their disease effects.

This post offers a unique opportunity to work in a fast-developing field of genomic epidemiology and to develop skills in state-of-the-art methods and technologies.

About you

As the successful applicant, you will be highly motivated and self-driven, with a PhD in a relevant discipline as well as experience and expertise in computational approaches to genomic analyses and genetic epidemiology.

You will have excellent quantitative and bioinformatics skills as well as effective interpersonal skills and work successfully alongside a multi-institutional team to deliver the research aims.  A track record of publishing research is also desirable.

To apply, please click on the ‘Apply’ button above.

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