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Postdoctoral Bioinformatics Research Associate/Fellow

University of Exeter - Faculty of Health and Life Sciences

Location: Exeter, Hybrid
Salary: The starting salary for Associate will be from £32,982 on Grade E. For Fellow it will be from £41,732 on Grade F, depending on qualifications and experience.
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 27th February 2024
Closes: 19th March 2024
Job Ref: P88996

This new full time post is available immediately on a 3 year fixed term basis.

Summary of the role

The Faculty wishes to recruit a Postdoctoral Bioinformatics Research Associate or Fellow to analyse genomic data as part of ongoing work to explore transcriptional and epigenetic variation in the brain.

Specifically, we are looking for an experienced bioinformatician who is excited about the opportunity to establish pipelines for using gene expression and epigenetic data from different brain cell types to interpret genetic association signals for obesity, body mass index and other glycaemic and metabolic traits. The successful applicant will also have the opportunity to work on other genomic data including using long-read sequencing to identify DNA modifications and profile transcript diversity.

The successful applicant will be based within the Genetics of Complex Traits team (working with Professor Inês Barroso) and the Complex Disease Epigenetics Group (working with Professor Jonathan Mill) in the Department of Clinical and Biomedical Sciences at the University of Exeter. We are a dynamic, interdisciplinary team including geneticists, molecular biologists, mathematicians and bioinformaticians researching the genomic basis of complex disease.

About you

Applicants will possess a relevant PhD or equivalent qualification/experience in a related field of study. The successful applicant will be able to develop research objectives, analyse large datasets, draft research manuscripts, make presentations at conferences, and contribute to the process of securing funding. They will be advocates of open and reproducible science. Experience analysing large genomic datasets (e.g. single-cell RNA-seq, single-cell ATAC-seq and epigenomic data) and statistical genetics (e.g. partitioned heritability analysis) is desirable. The successful applicant will be able to work collaboratively and be willing to help supervise others.

Please ensure you read the Job Description and Person Specification for full details of this role.

Further information

Please contact Inês Barroso and Jonathan Mill by e-mail on ines.barroso@exeter.ac.uk / j.mill@exeter.ac.uk

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