Researcher in Machine/Statistical Learning

University of Oxford;, United Kingdom

Updated: about 1 month ago
Location: Oxford, ENGLAND
Job Type: FullTime
Deadline: 26 Apr 2026

Location: Old Road Campus, Headington, Oxford, OX3 7LF

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 Postdoctoral Researcher to explore the cellular and genomic determinants of healthy aging using cutting-edge single-cell and AI-based tools, and population cohort data. You will be an integral member of the Awadalla lab, working with some of the world’s largest single-cell data assets, and in the context of the world’s largest longitudinal population studies, including CanPath and UKBiobank, as well as other international initiatives.

To be considered, you must hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: quantitative, genetic or molecular epidemiology, medical statistics or statistical genetics. You must have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills.

This is a full time, fixed term post (part time considered) for 3 years.

The closing date for applications is noon on 26 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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