Description of Health Data Scientist
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Health Data Scientist
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salary: Salary in the range £38,674 - £43,171 per annum (pro rata)
comment: Applications are invited for a Health Data Scientist to work with a team working with Professor Sir Aziz Sheikh on a research programme that involves research using large cohort electronic health data with a focus on evaluating the impact of health policy interventions (e.g. introduction of RSV programme, clean air zones, abolition of winter fuel subsidies to pensioners) across the UK, using natural experiment designs. The successful applicant will be expected to develop and carry out their own aspect of work, using large cohort electronic health data which contributes significantly to work of the HDRUK funded Driver Program for Inflammation and Immunity. Responsibilities will include writing complex queries to produce anonymised, harmonised electronic health datasets to use in cohort studies containing health data from multiple sources and analysis of multiple linked datasets to understand and provide expert advice and guidance on the impact of health policy interventions on respiratory health. You will hold a PhD(or near completion) in epidemiology or statistics involving the use of electronic healthcare record data or a closely related discipline, , or equivalent research, industrial or commercial experience. You will have demonstratable experience in writing queries to transfer, transform and interrogate data from large databases and accompanying statistical analysis packages (e.g. R, SQL). You will be based in the Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG as your normal place of work but there may be the opportunity for occasional remote working as agreed with your line manager. The position is full time and fixed term until 31 July 2027. For further information or to discuss the post please contact Stuart Faulkner (Senior Program Manager), stuart.faulkner@phc.ox.ac.uk. “Committed to equality and valuing diversity” You will be required to upload a CV and Supporting Statement as part of …
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application closing date: 2025-02-24T12:00:00+00:00
application opening date: 2025-01-27T09:00:00+00:00
further particulars: BZ24126_Health Data Scientist_Job Description.pdf

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value: Job Description _________________________________________________________________________ Summary Job title Health Data Scientist Division Medical Sciences Department Nuffield Department of Primary Care Health Sciences Location Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG Grade and salary Researcher Grade 7: Salary in the range £38,674 - £43,171 per annum Hours Full time (part time working of at least 0.8FTE will be considered) Contract type Fixed-term until 31 July 2027 Reporting to Professor Sir Aziz Sheikh, Head of Department and Simon de Lusignan, Professor of Primary Care and Clinical Informatics Vacancy reference BZ24126 - 175590 Research topic Health Data Science Principal Investigator / Professor Sir Aziz Sheikh supervisor Project team The HDR UK Inflammation and Immunity Driver Programme is led by Professors Aziz Sheikh, Jenni Quint (imperial College London), Liam Heaney (Queen’s University Belfast), Ian Sinha University of (Liverpool) and Gwynn Davies (University of Swansea). The funds supporting this research project are provided by HDRUK Funding partner https://www.hdruk.ac.uk/research/research-driverprogrammes/inflammation-and-immunity/ https://www.ed.ac.uk/usher/inflammation-and-immunity The role We are seeking an enthusiastic individual with experience in data management, health data science, medical statistics, epidemiology or a related discipline. The applicant should have a keen interest to work with large healthcare datasets. The researcher will work with the HDR UK Inflammation and Immunity Driver Programme (DP2), which seeks to transform the UK’s capabilities to improve understanding of health mechanisms and outcomes, using respiratory and allergic disorders as exemplar domains. The programme will provide a data foundation to contribute to novel respiratory health and clinical strategies that better predict, prevent and manage respiratory conditions. It is developing open-source tools and method…
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