Senior Bioinformatician in Single-cell and Spatial Multiomics and AI

Corehr; Oxford; On-site; GBP 49,000 - 55,000; Full time

Benefits offered by this job

Excellent pension scheme

38 days annual leave

Childcare services

Family leave schemes

Discounted travel

Job summary

University of Oxford invites a Senior Bioinformatician to join a multidisciplinary team studying Crohn’s disease. You will develop computational pipelines to integrate omics data with clinical datasets and collaborate across experimental, clinical and industry partners.

The role requires a PhD with strong computational experience in single-cell and spatial technologies, knowledge of Python and R, and proficiency with HPC and version control. Hybrid working arrangements apply.

Qualifications

• PhD/DPhil with substantial computational element.
• Expertise in omics data analysis, including single-cell and spatial multi-omics.
• Experience with ML/AI methods and Python/R programming.

Responsibilities

• Develop computational pipelines for integration of omics data.
• Coordinate analysis of omics datasets and manage data scientists.
• Collaborate with experimental, clinical and industry partners.

Skills

Bioinformatics analysis

Single-cell omics

Spatial multi-omics

Machine learning / AI

Python

R

Git / version control

High Performance Computing

Immunology interest

Education

PhD / DPhil in computational biology or related field

Tools

GitHub

HPC environment

Job description

UK date and time: 20-September-2026 15:37

Senior Bioinformatician in Single-cell and Spatial Multiomics and AI

Kennedy Institute of Rheumatology, Roosevelt Drive, Headington, Oxford OX3 7FY

188779 – Senior Bioinformatician in Single-cell and Spatial Multiomics and AI

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS)

Grade 8: Salary in the range of £49,119 - £55,031 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year.

This is a full time (100% FTE), fixed term position for 12 months.

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.

What We Offer

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
• Discounted bus travel and Season Ticket travel loans
• Membership to a variety of social and sports clubs

About the Role

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.

About You

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.

Application Process

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

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

Salary (£) : Salary in the range of £49,119 - £55,031 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year.