University of Oxford
AI

Data Scientist – Health Outcomes UK Biobank

University of Oxford · Oxford, ENG, GB

Actively hiring Posted 19 days ago

Role overview

Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work together to answer some of the most important questions about the causes, prevention and treatment of disease.

We are seeking a Data Scientist to support a programme of work focused on enhancing the classification of health outcome data in the UK Biobank resource. You will be responsible for developing a programme of work to enhance the phenotyping of health outcomes in UK Biobank, investigate new data sources, algorithms and mapping tools. You will also be responsible for writing scientific reports and publishing your work in journals and conferences.

To be considered, you must hold a higher degree (e.g. MSc/PhD) in data science, statistics, epidemiology, or a related subject, have significant experience in analysis of large complex epidemiological datasets, using Stata, R or SAS, and have excellent computer skills including knowledge of statistical packages or programming languages. You will have excellent organisational, writing and oral communication skills.

This is a full time, fixed term post (part time considered) until 30th June 2028.

The closing date for applications is noon on 31st March 2026

You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.

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