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Postdoctoral Research Associate/Fellow

University of Exeter - Faculty of Health and Life Sciences

Location: Exeter, Hybrid
Salary: From £33,882 (The starting salary will be from £33,882 on Grade E or from £42,632 on Grade F, depending on qualifications and experience.)
Hours: Full Time, Part Time
Contract Type: Fixed-Term/Contract
Placed On: 16th December 2024
Closes: 19th January 2025
Job Ref: Q01524

The post
We are recruiting a Postdoctoral Research Associate or Fellow with strong quantitative genomics skills, to join the Healthy Reproductive Ageing (HERA) study, an exciting, innovative, cross-institution research programme, funded by the Wellcome Trust. The post is available immediately on a fixed-term basis until August 2030. We welcome applications from candidates interested in working part-time hours or job-sharing arrangements.

HERA will generate a step change in our understanding of female reproductive ageing and ovary-centric disease through integrating findings from human population genomics with animal models, cellular phenotyping, organoid models and large-scale CRISPR screens. The biological and computational resources we generate will provide essential tools for the female reproductive health community in this under-researched field. The study will highlight novel biological targets with the potential to treat ovary-centric conditions.

The post will involve data-driven human genomics research, plus developing ideas and methods, collaborating with HERA partners in Cambridge, Copenhagen and London, writing papers, supervising more junior staff and students and developing further funding ideas.

The successful applicant will join a multi-disciplinary group of around 30 scientists working on complex trait genomics, based in Exeter. There is also the opportunity to spend up to 6 months at the MRC Epidemiology Unit in Cambridge, in the group led by Professor John Perry or the functional ovarian biology group in Copenhagen, led by Professor Eva Hoffmann. The project will have access to world-leading genomic resources and facilities and provide funding for attendance at: international conferences, training courses, career development opportunities and yearly retreats alternating between participating institutions.

About you
Please see the job descriptions for the differences between the roles available. Applicants will possess, or be nearing completion in, a relevant PhD in a quantitative area and have experience of statistical and or computational approaches to large scale data, genetic analyses, and/or genetic epidemiology. The successful applicant at grade F will be an internationally recognised researcher in their field, as shown by highly cited publications, and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies, but applicants at an earlier career stage are also encouraged to apply. The successful applicant will be able to work collaboratively and supervise the work of others as required.

Please ensure you read the Job Description and Person Specification (available on the university's website, accessed by the 'Apply' button) for full details of this role.

The University of Exeter
We are a member of the prestigious Russell Group of research-intensive universities and in the top 200 universities in the world (Times Higher Education World University Rankings 2024 and QS World University Ranking 2024). We combine world-class teaching with world-class research, achieving a gold rating in the Teaching Excellence Framework Award 2023, underpinned by gold ratings for Student Experience and Student Outcomes.

Our world-leading research impact has grown more than any other Russell Group university in recent years, and we are home to some of the world’s most influential researchers, seeking to answer some of the most fundamental issues facing humankind today. More than 99 percent of our research is of international quality and 47 percent is world-leading (2021 Research Excellence Framework).

Further information
For further information please contact Professor Anna Murray, e-mail a.murray@exeter.ac.uk or telephone +44 7803588770.

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