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targets. You will join the Computational Rare Disease Genomics Team, who collectively use computational genomics to understand mechanisms underlying rare human disease to enhance diagnosis and treatment. We
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, development, and aspirations. Apply now to become part of our extraordinary legacy. As part of our programme to transform Oxford’s digital communications we are developing a brand new intranet. To support this
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the established database, web systems, and frameworks for high-throughput data processing and integration. The role will also involve utilising high-performance computing clusters, storage systems, databases, and
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programme focused on integrating and analysing large-scale, multidimensional imaging datasets: MRI of heart, liver, kidney and brain to support early disease detection, improve mechanistic understanding, and
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, ideally with experience as both a course or programme leader and an examiner, and an excellent working knowledge of the administrative and quality assurance processes which underpin a successful teaching
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Theology Philosophy, Politics and Economics Psychology, Philosophy and Linguistics Computer Science and Philosophy Maths and Philosophy Physics and Philosophy You will be responsible for providing exemplary
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to scientific colleagues. Support the senior team in designing an internal funding programme for translational research projects to de-risk technology development. Manage the administrative activities related
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working would be considered (minimum of 4 days, 30 hours per week, 0.8 FTE). About You To be considered for this position you should have a degree in a computing or scientific subject and experience in data
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computational analysis of single cells and also interfacing with NHS colleagues at the Oxford University Hospitals NHS Foundation Trust. You will hold a medical degree (MB ChB or equivalent) and relevant PhD or a
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Applications are invited for an epidemiologist, statistician or health data scientist to work in our OpenSAFELY platform, deployed across the full electronic health records of 55 million patients. The successful applicant will be helping to lead a new way of delivering health data science....