Research fellow in infectious disease modelling

University of Oxford

We are seeking to appoint a Research fellow in in infectious disease modelling to join Professor Deirdre Hollingsworth’s team at the Centre for Tropical Medicine and Global Health.

As a Research fellow, you will be working in a multi-disciplinary, multi-national team focussed across a number of NTDs, with primary responsibility for data analysis and modelling of trachoma, a bacterial infection and leading cause of blindness globally. You will primarily be working on evaluating the impact of a trachoma control programme in close collaboration with stakeholders. However, you will work also in multidisciplinary teams on a range of epidemiological, surveillance and programmatic data and statistical and mechanistic models across the NTDs for real-world impact.

It is essential that you hold a PhD/Dphil (or close to completion) in a quantitative research area such as mathematical modelling, computing or statistics, together with relevant experience. Sufficient specialist knowledge in the discipline to work within established research programmes in infectious disease modelling is required, alongside strong analytical and quantitative skills and excellent problem-solving abilities. The ability to manage own academic research and associated activities and independently lead research, to work collaboratively with others and to work to deadlines is also required.

Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

This position is offered full time (part-time may be considered at a minimum of 22.5h / 0.60FTE) on a fixed term contract until 31 March 2025 and is funded by the Children’s Investment Fund Foundation, the Li Ka Shing and the Bill and Melinda Gates Foundation.

Only applications received before 12 midday on Friday 13 October 2023 will be considered. Please quote 167128 on all correspondence.

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