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University of Exeter
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Postdoctoral Research Fellow in Health Data Science and Counterfactual Clinical Prediction Modelling University of Exeter in United Kingdom
Degree Level
Postdoc
Field of study
Data Science
Funding
Full-time fixed-term post funded by the Medical Research Council (MRC) until 30 November 2028, with a starting salary from £44,352 on Grade F depending on skills, experience and knowledge. Further funding opportunities identified during the contract may be reviewed and discussed.
Deadline
Nov 16, 2026
Country
United Kingdom
University
University of Exeter
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About this position
The University of Exeter’s Faculty of Health and Life Sciences is recruiting a Postdoctoral Research Fellow in Health Data Science to support Professor John Dennis and an MRC Development Pathway Funding Scheme project on developing and testing a decision aid for UK primary care.
The researcher will act as lead health data scientist, developing and validating counterfactual clinical prediction models for diabetes and cardiometabolic disease therapies. The work will apply novel statistical methodology to help individualise treatment decisions for people with type 2 diabetes.
The project involves preparing and analysing large, complex real-world electronic health datasets, including CPRD data, alongside clinical trial data. The researcher will follow open science principles and contribute to research translation by developing and refining clinical decision aids for use in the NHS.
The role offers collaboration with external partners such as software developers and health professionals, providing an opportunity to connect medical statistics, health data science, clinical prediction modelling and primary-care research. The successful fellow will work within the University of Exeter’s health and life sciences research environment and contribute to research development, collaboration and leadership.
Funding details
Full-time fixed-term post funded by the Medical Research Council (MRC) until 30 November 2028, with a starting salary from £44,352 on Grade F depending on skills, experience and knowledge. Further funding opportunities identified during the contract may be reviewed and discussed.
What's required
Applicants should possess a relevant PhD or equivalent qualification/experience in medical statistics or a related field. They should have recognised expertise in counterfactual prediction modelling, specialist knowledge sufficient to develop research programmes and methodologies, experience working with large-scale data, excellent coding, analytical and problem-solving skills, and commitment to open science principles. Applicants should also be able to develop research objectives, projects and proposals, contribute to funding applications, present at conferences, collaborate effectively, supervise others and act as a team leader when required.
How to apply
Apply through the University of Exeter careers vacancy page using the Apply button. Review the Job Description and Person Specification before submitting the application. Contact Professor John Dennis for further information or HR Helpdesk for application support.
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