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and demonstrable ability to interface and collaborate with experts in programming. • An independent, well-organized, and reliable work style. • Track record of obtaining scientific funding
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. The successful candidate will be encouraged to train further and develop skills to undertake high quality empirical and methodological research in health economics. There will also be opportunities to participate
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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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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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computational approaches. You will play a hands-on role in generating and analysing high-quality data that fuels discoveries, publications and therapeutic innovation. https://www.rdm.ox.ac.uk/research