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Department of Health Services Research and Policy to support two studies. The post-holder will explore instrumental variable methodologies to establish causal treatment effects from routine data (MRC funded
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, involved in study set up, trial management, and data analysis. The data analysis component will be primarily of genomic data. The purpose of this post is to identify and investigate genotype-phenotype
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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quality improvement skills along an academic pathway. The programme will train GP Fellows in health data science, research methods, and the clinical effectiveness approach, to develop them into future
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reviewing, and quantitative and qualitative data analysis. The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic. The post-holder should have an in-depth knowledge
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of patients with inflammatory arthritis linked to detailed pathobiological data since 2008, paving the road for precision medicine trials in inflammatory arthritis. More information can be found on our website
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regression models to complex forms of observational data, and of applying causal inference approaches to health data are essential. Experience of analysing time-to-event outcomes is desirable. This role offers
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this information will mean that the application will not be considered. An answer to any criteria, such as "Please see attached CV", will not be acceptable. Please note that if you are shortlisted and cannot attend
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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational
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relevant to your proposed project is desirable. Please note applications without this will not be considered. Please quote reference EPH-DPH-2025-07 or for more information contact Professor Rosie Green