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University of Exeter is recruiting a Postdoctoral Research Fellow in Health Data Science to lead counterfactual prediction work on a UK primary care project. The role involves handling large-scale real-world data and collaboration with NHS partners.
The successful candidate will develop and validate models, translate research into clinical decision aids, and supervise junior staff within the Faculty of Health and Life Sciences.
Postdoctoral Research Fellow in Health Data Science
This full-time post is available immediately until 30th November 2028.
This post is offered as a fixed term contract and is funded by the MRC until 30 November 2028.
In line with the University's fair employment for all principles, any further funding opportunities identified will be reviewed and discussed during the contract.
The starting salary will be from £44,352 on Grade F, depending on skills, experience and knowledge.
The Faculty of Health and Life Sciences wishes to recruit a Research Fellow to support the work of Professor John Dennis. The successful applicant will act as lead health data scientist on a new MRC Development Pathway Funding Scheme project "Development and testing of a decision aid for UK primary care to individualise treatment in type 2 diabetes."
The successful applicant will lead the development and validation of counterfactual clinical prediction models for diabetes and cardiometabolic disease therapies, including the application of novel statistical methodology.
The role will include the preparation and analysis of large, complex real-world electronic health datasets (e.g. CPRD) and clinical trial data, following open science principles. The applicant will have the opportunity to work directly on research translation including developing and refining clinical decision aids for use in the NHS, working in collaboration with external partners (e.g. software developers) and health professionals.
The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events.
Applicants will possess a relevant PhD or possess an equivalent qualification/experience in medical statistics or a related field. The successful applicant will be a recognised authority in counterfactual prediction modelling and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required.
Applicants will be able to demonstrate experience of working with large-scale data, extremely good coding, analytical and problem-solving skills, and a commitment to open science principles.
Please ensure you read the Job Description and Person Specification for full details of this role.
Further information
Please contact Professor John Dennis, j.dennis@exeter.ac.uk
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