Team Leader in Malaria Risk Stratification

All UK vacanciesAcademic or ResearchTeam Leader in Malaria Risk Stratification

Mathematics and Statistics,Mathematics,Statistics

Short info about job

Company: University of Oxford

Department: Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine

Salary: £45,562 to £52,793 p.a.

Hours: Full Time

Contract type: Fixed-Term/Contract

Type / Role: Academic or Research

Phone: +44-1438 4933380

Fax: +44-1491 3547729

E-mail: N\A


Detail information about job Team Leader in Malaria Risk Stratification. Terms and conditions vacancy

Old Road Campus, Oxford, OX3 7LF

We are seeking to appoint a team leader in Malaria Risk Stratification. Reporting to the director of the Malaria Atlas Project (MAP) the post is a senior position responsible for planning and directly conducting original research and managing the research team for one of the two major strands of research within the group: Malaria risk stratification for elimination. This will entail scientific and intellectual leadership, managing research budgets, and the line-management of postdoctoral scientists and research assistants.

The postholder will hold a relevant PhD/DPhil in mathematics, statistics, or related numerate discipline and be a recognised authority in the field of geospatial modelling of disease, with a proven track record of relevant publications and conference papers. The postholder will be responsible for ensuring MAP is able to fulfil all deliverables in its subcontract with the University of Washington under the Geospatial Analyses of Pneumonia, Diarrhea, Malaria, HIV/AIDS, Tuberculosis and selected Eradicable Neglected Tropical Diseases project funded by the Bill and Melinda Gates Foundation.

This full-time position is fixed term until 30 April 2020.

Further particulars, including details of how to apply, can be obtained from the document below. Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application.

The closing date for this post will be 12.00 noon on Wednesday 6 September 2017.

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