Senior Bioinformatician in Single-cell and Spatial Multiomics and AI

Economics Network; Oxford; Hybrid; GBP 49,000 - 55,000; Full time

Benefits offered by this job

Pension scheme

38 days annual leave

Childcare services

Family leave schemes

Cycle loan scheme

Travel discounts

Job summary

The University of Oxford invites applications for an experienced bioinformatician to join a multidisciplinary team working on histolopathological and omics analyses in a Takeda-sponsored clinical study. You will develop computational pipelines and integrate multi-omics data to identify disease pathways and targets.

Collaborating with experimental, clinical and industry partners, you will guide data scientists, plan new projects and support programme objectives in a hybrid work environment.

Qualifications

• PhD/DPhil with a significant computational element and omics experience.
• Experience in omics data analysis including single-cell and spatial multi-omics.
• Proven use of ML/AI methods and programming in Python and R.

Responsibilities

• Develop and maintain computational pipelines for omics data integration.
• Coordinate analysis of omics datasets to support study objectives.
• Manage data scientists to support programme needs.
• Collaborate with experimental, clinical and industry partners.

Skills

Bioinformatics analysis

Single-cell omics

Spatial multi-omics

Machine learning / AI

Python

R programming

Version control (GitHub)

High Performance Computing

Immunology interest

Education

PhD/DPhil in a relevant field

Tools

GitHub

HPC environment

Job description

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
• Cycle loan scheme
• 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.

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

£49,119 to £55,031 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year.