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An exciting opportunity has arisen for a Medical Statistician to join the Oxford Clinical Trials Research Unit (OCTRU) Statistics Team and the Centre for Statistics in Medicine (CSM). The post is
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Applications are invited for a Quantitative Research Assistant to work within the Medical Statistics team under Rafael Perera and Patrick Fahr on a climate change and health research programme. The
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Applications are invited for a Quantitative Research Assistant to work within the Medical Statistics team under Rafael Perera and Patrick Fahr on a climate change and health research programme. The
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the project, from designing and developing research protocols, coding simulations, cleaning large and routinely collected data, writing statistical analysis plans, conducting statistical analyses, and writing
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statistical analysis plans, conducting statistical analyses, and writing scientific publications. You will provide statistical advice to staff working in relevant projects, and to assist others in their work
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imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans
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methodologies and contribute ideas for new research projects. To be considered, you must hold a higher degree (e.g. MSc/PhD) in epidemiology, statistics or a related subject, have significant relevant experience
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’ Programme. The post will suit an ambitious researcher, who is interested in applying their skills in machine learning, high-dimensional statistics, and multi-omics and data integration. The primary role
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project that will enhance Population Health research in Oxford. Applicants should have an MSc in a subject relevant to Population Health (e.g. medical statistics, epidemiology, health economics, sociology
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Hollingsworth’s group is a world leader in the development of statistical, mathematical, and computational models that inform disease dynamics and the translation of outputs to national and global health policy