Postdoctoral Researcher in Immune-Metabolism and Multi-omics
Lead computational multi-omics analysis for an international psychiatric genetics research project at Oxford.
Best for:Best for quantitative researchers with a background in bioinformatics or statistical genetics and experience analyzing multi-omics or population health data.
Overview
The University of Oxford's Department of Psychiatry is seeking a part-time Postdoctoral Researcher to lead the computational work package for an Anglo-French research project investigating the immuno-metabolic profile of anhedonia in severe mental illness. Reporting to Dr Fabiana Corsi-Zuelli, the successful candidate will integrate genomic and phenotypic data from international cohorts with multi-omics datasets to drive biomarker discovery. The role involves developing reproducible analysis pipelines, managing independent research, and collaborating closely with partner teams in the UK and France. This fixed-term appointment offers an engaging opportunity to contribute high-impact findings to the fields of psychiatry and computational biology.
What you'll do
- Lead the computational work package for an international Franco-British psychiatric research project.
- Integrate genomic and phenotypic data from large external cohorts with multi-omics datasets including proteomic, metabolomic, and cellular immunophenotyping data.
- Develop and maintain robust, reproducible analysis pipelines to support biomarker discovery and validation.
- Manage independent research tasks while coordinating closely with research teams across the UK and France.
- Contribute significantly to project reporting, peer-reviewed scientific publications, and international conference presentations.
Requirements
Degree required: PhD or DPhil in neuroscience, bioinformatics, statistical genetics, computational biology, epidemiology, or a related quantitative discipline
Language: English; excellent written and verbal proficiency for international collaboration
Instruction: English
- Demonstrated expertise in analyzing and integrating high-dimensional multi-omics data with clinical or phenotypic data
- Proficiency in statistical genetic approaches utilizing large-scale population resources
- Strong programming capabilities and a commitment to reproducible research practices
- Excellent communication skills suited for multi-site international collaboration
Funding & terms
How to apply
Deadline: 2026-11-05
Applicants must submit their online application through the university recruitment portal, including a comprehensive curriculum vitae, a detailed covering letter or supporting statement, and contact details for two referees.
- CV
- Cover letter
- 2 reference details
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