Senior Bioinformatician in Single-cell and Spatial Multiomics and AI

The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

 

The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching.

 
The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage clinical research, to develop transformative new therapies for chronic inflammatory and musculoskeletal conditions.

 

The Buckley Research group aims to uncover the stromal basis of chronic inflammation and related tissue pathology to target fibroblasts across a range of immune-mediated inflammatory diseases. 

 

 

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including: 

 

•    An excellent contributory pension scheme 

•    38 days annual leave 

•    A comprehensive range of childcare services 

•    Family leave schemes 

•    Cycle loan scheme 

•    Discounted bus travel and Season Ticket travel loans 

•    Membership to a variety of social and sports clubs 

 

 

We are offering an exciting and unique opportunity for an experienced bioinformatician to work at the interface of academia and industry, joining a multidisciplinary team working on histolopathological and omics analyses of samples from a clinical study sponsored by Takeda which aims to understand the molecular basis of Crohn’s Disease to identify disease pathways and potential new treatment targets. In this role you will develop new methodologies, taking overall or shared responsibility for development/maintenance of computational pipelines for integration of omics data with other relevant datasets. You will also identify, define and plan new projects, coordinating analysis of omics data and relevant associated datasets as required to support the programme objectives as well as manage data scientists to support the programme objectives. This position requires you to work closely with experimental, clinical and industry partners to better understand the domain, help address scientific hypotheses and support the programme objectives. 

 

You will hold a PhD/DPhil with a significant computational and/or statistical element together with expertise in bioinformatics analysis of omics datasets, including single-cell and spatial multi-omics, and single-cell immune repertoire analysis. You will have demonstrable experience of applying machine learning/AI methods as well as experience and knowledge of python and R programming. You will also have demonstrable experience of software development using version control (e.g. GitHub or similar) and experience using a High Performance Computing environment alongside an interest in immunology in the context of disease. Experience of developing computational methods for omics data analysis and knowledge of another relevant programming language (e.g. R) are desirable.  

 

 

You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. Please quote 188779 in all correspondence. 

 

The closing date for applications is 12pm 7 October 2026.

 

Interviews will take place during week commencing 19 October 2026 and will be hybrid. 

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