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Model the results of the largest UTT HIV trial and help shape policy

Senior Researcher in Infectious Disease Modelling
Li Ka Shing Centre for Health Information and Discovery, Big Data Institute, Old Road Campus, Headington, Oxford
Applications to be received by 12 noon on Wednesday 4th of September 2019
Grade 8: £40,792 - £48,677 p.a.

This is an exciting opportunity to join a large team trialling an intervention to tackle the HIV epidemic in Zambia and South Africa. You will report to Professor Christophe Fraser, and be based in the Pathogen Dynamics group at the Big Data Institute in Oxford. You will join a modelling team based at Oxford and Imperial College, developing a new highly computationally efficient individual based simulation for use in interpreting the trial. This work involves developing new algorithms for simulation and inference, analysis of complex data from a range of sources, and communication with a wide variety of stakeholders involved in the trial. The researcher will be an integral member of the Pathogen Dynamics group based at Oxford, led by Christophe Fraser. Members of the group study the dynamics of several human infectious diseases using both modelling and pathogen genetics, and the post offers substantial opportunities for career development. You will provide guidance to less experienced members of the research group, including postdocs, research assistants, and PhD and project students.

You will develop and adapt statistical analysis methods, simulation methods, computer code and error-checking methods for use in the project as well as actively manage collaboration with colleagues working on the modelling and health economic analysis of the trial, and more broadly with colleagues involved in the trial as a whole. You will raise research funds through grant applications, and manage own area of a larger research budget and develop research questions within a specific contact and conduct individual research.

You must have a PhD in infectious disease modelling, applied computing, applied mathematics, statistics, epidemiology or relevant quantitative science, together with relevant experience in modelling or simulation science. You will also possess sufficient specialist knowledge in infectious disease modelling, epidemiology or simulation science to work within established research programmes. A strong publication record and familiarity with the existing literature and research in the field is also essential.

For informal inquiries about this position, please contact Dr Lucie Abeler-Dörner lucie.abeler-dorner@bdi.ox.ac.uk.

Type
Postdoc
Institution
University of Oxford
City
Oxford
Country
UK
Closing date
September 4th, 2019
Posted on
August 19th, 2019 15:47
Last updated
August 19th, 2019 15:47
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