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About the Role Join a multi-disciplinary team that explores human intestinal development and disease using cutting edge single cell and spatial biology technologies, organoid models and
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presentation of results of collaborative research projects. Most of your analytical work will be based on Real World Data (RWD), in many cases from datasets mapped to the OMOP common data model such as the
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and realign how we measure and model populations by infusing new types of data, methods and unconventional approaches to tackle the most challenging demographic problems of our time. You will lead and
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diagnostics, epidemiology, medical statistics, behavioural science, modelling, qualitative research and the wider application of social science theory and methods to address practical and theoretical challenges
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, Woodstock Road, Oxford, OX2 6GG as your normal place of work but you will be able to agree a pattern of regular remote working with your line manager. The first position is funded by the Ineos Oxford