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Research adjunct in Health Data Sciences:Job description:Job location: Oxford Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford, OX3 7LD We have a great opportunity for a Research adjunct in Health Data Sciences to join the Pharmaco- and Device epidemiology research group led by Professor Daniel Prieto-Alhambra at the Botnar Research Centre, NDORMS, University of Oxford. The NDORMS Pharmaco- and Device epidemiology research group is involved in a number of national and international studies exploring the conditions of use (adherence, compliance, off and on-label use) of a number of licensed drugs, devices, and vaccines for the avoidance and treatment of human disease in 'real world' (routine practice) conditions. As a Research adjunct in Health Data Sciences you will contribute to the programming of analytical pipelines for the analysis of routinely collected data mapped to the OMOP Common Data Model. You will analyse real world data to address regulatory questions related to the prevalence/incidence of disease, use of medicines/vaccines, and the risks or benefits of medicines/vaccines or devices. You will prepare analytical packages to run a number of pre-specified analyses, contribute to wider project planning, including ideas for new research projects and gather, analyse, and present scientific data from a variety of sources. You will hold a significant BA or MSc degree in Mathematics, Engineering, or a related field. expertise of medical statistics and practice analysing large datasets, practice in biostatistics and/or health data sciences and practice in the programming of R packages are essential. practice in propensity scores, overlap weighting, inverse probcapability weighting and/or similar methods, skills in pharmaco or vaccine epidemiology and practice of working with electronic medical records/routinely collected data are desirable. This is a full-time fixed-term appointment for 2 years. The closing date for this position is 12 noon on 10 May 2024. You will be required to upload a CV and supporting statement as part of your online application. Skills:
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