Senior Statistician in Infectious Diseases

University of Oxford

Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. Oxford Population Health is a key partner in the Big Data Institute (BDI), contains world-renowned population health research groups, and is an excellent environment for multi-disciplinary teaching and research.

We are seeking a Senior Statistician to join Associate Professor Goylette Chami’s Research Group that that extends big data methods to rural poor settings in sub-Saharan Africa. The main focus of the of the research group is to improve the effectiveness of treatment for schistosomiasis by taking a multifaceted approach that combines statistical learning with epidemiology, large-scale fieldwork, and community engagement.

This role involves taking the lead in providing statistical expertise to a multi-disciplinary team by creating mathematical models, developing dynamic simulations, and performing Bayesian analyses of complex morbidities across multiple time points. The post holder take the lead in providing statistical guidance and advice to other members of the group on methodologies or procedures, and actively participate in ongoing research projects and will manage their own academic research and administrative activities.

To be considered you will hold a PhD in statistics, epidemiology, or a related scientific discipline. Research experience working with complex biomedical/clinical data and ability to assimilate the literature on schistosomiasis and its coinfections, to address investigations accordingly, and to contribute ideas for new research projects are essential for this post.

The post is full-time (although part-time is considered) and fixed term – 1 year in the first instance.

The closing date for applications is noon on Monday, 13 March 2023.

You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.

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