Postdoctoral Research Assistant in Translational Research

This is a full time, fixed term position for 2 years.

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 Botnar Research Centre enables and encourages research and education into the causes of musculoskeletal disease and their treatment. The Centre provides world-class facilities for scientists in the field of musculoskeletal research.

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
• This role also offers the opportunity for hybrid working

About the role

Based within the Oxford Translational Myeloma Centre (OTMC) at the Botnar Institute for Musculoskeletal Sciences, this post will join an interdisciplinary team of clinical, experimental, and computational researchers working in translational multiple myeloma research. The postholder will contribute to projects aimed at understanding the biological mechanisms underlying disease progression and treatment response within the OTMC’s clinical-translational research infrastructure. The role will focus on the computational analysis and interpretation of multi-omics and clinical datasets to support research into multiple myeloma and related conditions. The postholder will apply and further develop bioinformatic and machine learning approaches to enable integrative analysis and biomarker discovery.

About you

You must hold, or be close to completion of, a PhD/DPhil in a discipline of direct relevant to computational biology, bioinformatics, or a related field. You will have experience in multi-omics and AI/ML based data analysis and demonstrable understanding of biology relevant to cancer research. Additionally, you will have experience contributing to the development of scientific techniques in systems biology and/or computational genomics; familiarity with experimental workflows is desirable.

Application process

The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.

Applications for this vacancy should be made online and must include a CV and a supporting statement explaining how you meet the selection criteria, using examples of your skills and experience.

The closing date for applications is Friday, 29^th May 2026.

Interviews will take place during week commencing 22^nd June 2026 and will be face to face

Please quote reference 186139 in all correspondence.

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