80 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Leicester
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Evidence Unit, you’ll work with large-scale electronic health record data to: Draft study protocols and conduct feasibility assessments Clean and analyse data using statistical methods Contribute
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to detail. You will be confident handling sensitive information and maintaining confidentiality, with a clear understanding of data protection and health and safety requirements. Excellent communication and
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disease, using advanced statistical methods such as survival analysis, causal inference, and prediction modelling. You’ll contribute to study design, data preparation, and statistical support across BHF
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supervision, prioritising your own workload to deal with urgent tasks, while maintaining a high standard of accuracy and attention to detail. You will also have strong IT skills. Additional information Informal
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endpoints and their use in health technology assessment (HTA). The research will involve undertaking a range of techniques, including individual participant data (IPD) and multivariate meta-analysis methods
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interface with the University Hospitals of Leicester NHS Trust in terms of interactions with the Clinical Care Team/Pathology Department and the collation of clinical data. You will also need to be confident
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, or space manufacturing technologies is desirable. Additional information Informal enquiries are welcome and can be made to Dr Daniel Hao on d.hao@leicester.ac.uk As part of the University’s ongoing
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-technical audiences. Experience working in higher education, public sector, or large-scale web projects is an advantage but not essential. Additional information Informal enquiries are welcome and should be
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information Informal enquiries are welcome and should be made to Stacy Hall at s.hall@leicester.ac.uk As part of the University’s ongoing commitment to professional development, this role will also be
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stakeholders across disciplines. You will lead on data collection, analysis, and dissemination of findings, contributing to journal articles, technical papers, and future research bids. You will represent