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value: Job description Job title Data Wrangler Division Medical Sciences Division Department Oxford Population Health (Nuffield Department of Population Health, University of Oxford) Location Old Road Campus, Headington, Oxford, OX3 7LF Hybrid working available (up to 40% of hours can be worked remotely) Grade and salary Grade 6: £34,982 - £40,855 per annum (including Oxford Weighting Allowance) Hours Full time Contract type Fixed term – 2 years Reporting to Data Scientist Vacancy reference 178107 Data Wrangler job description, February 2025 1 About Oxford Population Health Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. We work together to answer some of the most important questions about the causes, prevention and treatment of disease. The Department has around 1000 staff, students and academic visitors working in a number of world-renowned population health research groups, including the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), the Cancer Epidemiology Unit (CEU), the National Perinatal Epidemiology Unit (NPEU) and other groups working on public health, health economics, ethics and health record linkage. It is also a key partner in the Oxford University’s Big Data Institute. In the 2021 Research Excellence Framework (REF), 96% of the research submitted to Unit of Assessment 2: Public Health, Health Services and Primary Care, was ranked either 4* (world-leading in terms of originality, significance and rigour) or 3* (internationally excellent in terms of originality, significance and rigour). This comprised research from Oxford Population Health and research from the Nuffield Department of Primary Care Health Sciences. We scored particularly well for having an environment that is conducive to producing research of world-leading quality and enabling outstanding impact, in terms of its vitality and sustain…
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Data Wrangler
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comment: The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. The EDoN Initiative (Early Detection of Neurodegeneration) was set-up by Alzheimer’s Research UK has deployed a suite of novel app-based and wearable technologies to measure cognition, behaviour, sleep and physiological changes in cohorts around the world. With the clinical phase nearing completion, this project is an exciting opportunity for a Research Assistant to be part of an interdisciplinary team with responsibility for harmonizing the data, linking with traditional phenotypes from clinical assessments, biomarkers, and imaging, and beginning analysis. To be considered for this role you will have a degree in a scientific or numerate subject, have substantial experience in data analysis as well as experience in developing software or analysing data using Python. You will also have strong analytic skills, problem solving ability, and attention to detail. The position is full time and fixed term for 2 years. The closing date for applications is noon on 13 March 2025. You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description.
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