This is an exciting opportunity to join a large and growing team dedicated to investigating the evolution, epidemiology and ecology of infectious diseases worldwide. The postholder will report to Dr Nuno Faria and Professor Oliver Pybus to deliver program objectives and will be based in the Department of Zoology in Oxford.

A post is available for a Scientific Program Manager who will coordinate the operational, financial and administrative aspects of the scientific research projects undertaken by the team. The post will also include coordinating communication with other teams both internally and externally, and the management and curation of quantitative scientific data. Although the postholder is not expected to develop or be directly responsible for generating primary scientific research, we would support the postholder if they wished to gain transferable research and data analysis skills that are appropriate to current projects. Current key projects are (i) the development of virus genomic surveillance across Latin America (CADDE) and sub-Saharan Africa, and (ii) the development of new approaches to genomic data and phylodynamic analysis (PATHPHYLODYN). The postholder will play a key role in supporting these projects and their operations, ensuring they are effectively managed and administered with timely delivery of key objectives. The postholder will have the opportunity to contribute to these and future projects, participate in scientific meetings, and potentially represent the team during travel to operational sites.

The successful candidate will be based at the Peter Medawar Building for Pathogen Research in Oxford and will be part of the Department of Zoology at Oxford University. The postholder will be encouraged and supported to develop a career path of their choosing in scientific administration, technical support, or research.

The successful candidate must have a scientific education to degree level, have the ability to work autonomously towards a goal, have excellent communication and organisational skills, be comfortable handling quantitative scientific data, and be able to manage projects within financial and schedule constraints. Experience in a similar role would be beneficial.

Only online applications received before 12.00 midday on 27 September 2019 can be considered.