Senior Bioinformatician in Single-cell/Spatial Multi-omics and Machine Learning/Artificial Intelligence

This is a fixed-term, full time position for 3 years, in the first instance

We are looking for a Senior Bioinformatician in Single-cell/Spatial Multi-omics and Machine Learning/Artificial Intelligence to join the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences at the University of Oxford. The Experimental Medicine Collaboration (EMC) collaboration will combine the outstanding drug discovery, target validation and clinical development of GSK with Oxford’s exceptional track record in the research and development of new drug therapies and Oxford’s Old Road Campus Experimental Medicine capabilities, and particularly the Experimental Medicine Clinical Research Facility (EMCRF). 

The post-holder will lead the management and analysis of large-scale datasets to address joint GSK-Oxford hypotheses, working with academic, clinical and industry colleagues. They will help to develop and maintain computational pipelines and workflows for single-cell and spatial omics analysis and integration with clinical, demographic and experimental data. Implementation and/or development of ML/AI approaches to address key questions is also highly encouraged. 

As a Senior Bioinformatician, you will be responsible for developing new methodologies, taking overall or shared responsibility for development/maintenance of computational pipelines for integration of omics data with other relevant datasets. You will work closely with experimental, clinical and industry partners to better understand the domain, help address scientific hypotheses and support the programme objectives. In addition, you will provide bioinformatics input into outline and full grant proposals, as a co-applicant. 

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, and single-cell immune repertoire analysis. 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

Contact Person: Recruitment Team

Contact Email: recruitment@ndorms.ox.ac.uk

183469 Senior Bioinformatician in Single-celland Spatial Multi-omics JD.pdf 

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