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large health datasets on topics including pharmacoepidemiology and non-communicable diseases. The post requires strong data management and quantitative skills with expertise in a common statistical
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defending the cultural value of knowledge for its own sake. You will also possess computational expertise in data mining and / or analysis, ideally including language processing, and be able to work with an
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for marketing, engagement and fundraising, gained in either a charity or HE setting; of collating large amounts of data and presenting it in appropriate formats to colleagues, senior managers and volunteers
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of complex, large-scale R&D activities, working across academic, creative, and tech sectors. This role is ideal for someone who enjoys building processes, thrives on solving problems collaboratively, and has a
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and archival data, as well as working towards future observing proposals and strategies. Within this framework, the successful candidate will have flexibility and freedom to tailor the project
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of a large multidisciplinary collaboration between LSHTM and Oxford Brookes University (lead partner), UCL, LSE, University of Leeds, University of Edinburgh, and a wide network of UK stakeholders
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to important public health topics. Studies will include descriptive epidemiology and use emulated target trial approaches for robust causal inference within large national health datasets. The post offers
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programme activities. The Student Experience Manager will deliver high quality processes and programme elements as well as professional, knowledgeable and timely information to all programme team members and
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About the Role Applications are invited for a Data Scientist based at the Centre for Clinical Pharmacology and Precision Medicine at the William Harvey Research Institute in Charterhouse Square. The
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files, as well as ensuring each step of the patient’s pathway is accurately documented in the appropriate data capture systems in a timely manner. The role will also involve coordination R&D applications