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, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research
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mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
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the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and
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the decision analytic modelling field research field and contribute to high quality reports for funding bodies and peer-reviewed outputs. You will hold a DPhil/PhD in health economics or a related quantitative
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more broadly in the NDPCHS’s portfolio of health economics research and teaching activities. You should have (or be close to completing) a DPhil/PhD in health economics or one of its cognate disciplines
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assistants, PhD students, and/or project volunteers. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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, adapting existing and developing new research methodologies, as well as contributing to ideas for new research projects. You will hold (or be close to completion of) a PhD/DPhil in a Social Science
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FTE, 30 hours per week minimum) and is fixed term up to 31/03/2027. About You You will have extensive expertise in statistics, likely including a PhD, and experience and interest in working in
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hold, or be close to completion of, a relevant PhD/DPhil, have relevant experience in the integration of social science methods and ethical analysis and possess sufficient specialist knowledge of ethics