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experience in data management, health data science, medical statistics, epidemiology, or a related discipline. We would welcome applications from people with advanced data science, epidemiological
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Sciences Division, with responsibility for a significant part of the teaching of clinical students within the Medical School. What We Offer • Flexible working • An excellent contributory
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responsible for running your own research work, as part of our wider research aims and directions in our newly formed team. You will be working in a growing department within the Medical Sciences Division
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-ordinating multiple aspects of work to meet deadlines . and communicating effectively with colleagues and collaborators. You are required to hold a degree in Computer Science or a Health Informatics discipline
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should be medically qualified, ST3 and above, have full GMC registration and already hold, or have submitted for Higher Degree (PhD/DPhil/MD). Applicants must also hold a current National Training Number
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to comply with University regulations. You are required to be educated to at least A-level, or have equivalent knowledge, experience, intellectual capacity and reasoning skill to that level and knowledge and
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://www.phc.ox.ac.uk/research/groups-and-centres/medical-statistics/COMPUTE) This will include using large scale data from electronic health records (CPRD) and UK Biobank to explore patterns and identify risk factors
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the Medical Sciences Division. The Department of Paediatrics is a world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology
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support through great communication and organisational skills. You will be working in a growing department within the Medical Sciences Division. The Department of Paediatrics is a world leader in child
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, epidemiology, medical statistics, behavioural science, modelling, qualitative research and the wider application of social science theory and methods to address practical and theoretical challenges in health and