Senior Bioinformatician in Exposome Immunology (183470)
Grade: 8: £49,119-£55,031 per annum
Closing date: 22 December 2025
Are you a Senior Bioinformatician in Exposome Immunology? Co-lead development of a multi-omic computational pipeline within the CoRE, generating integrated tissue atlases and models that uncover how environmental exposures shape immune regulation across health and disease.
We are looking for a Senior Bioinformatician in Exposome Immunology to join the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences at the University of Oxford. The post-holder will co-lead development of a CoRE computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. They will work with a team of data scientists in Manchester and Oxford towards the development of the integrated omics data analysis pipeline within the CoRE, creating omics-based tissue atlases and associated computational models to characterise the effect of exposures on different tissues in humans and model systems.
As a Senior Bioinformatician, you will be responsible for identifying, defining and planning new projects, taking overall or shared responsibility for development of the CoRE computational pipeline for integration of omics data with other relevant datasets. You will manage CoRE data scientists to support the CoRE programme objectives and work closely with experimental and clinical partners to better understand the domain, help address scientific hypotheses and support the CoRE programme objectives. In addition, you will advise and supervise CoRE staff and students on the associated CoRE PhD programme on a day-to-day basis.
You must hold a PhD/DPhil with a significant computational and/or statistical element, or comparable industrial research experience. You must have expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics. Previous experience applying machine learning/AI methods, including experience and knowledge of python programming, is essential. Experience of developing computational methods for omics data analysis, along with experience and knowledge of another relevant programming language (e.g. R), is desirable.
This is a fixed-term, full time position for 3 years, in the first instance.
Due to the nature of the research at the Kennedy Institute of Rheumatology, this job will require additional security pre-employment checks:
• A satisfactory basic Disclosure and Barring Service check
The closing date for this position is 12 noon on 22 December 2025. You will be required to upload a CV and supporting statement as part of your online application.
Please note, due to departmental closure over the Christmas period, shortlisting and interviews for this position will take place in January 2026
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