Research Associate in Influenza Dynamics

Imperial College London - Department of Infectious Disease Epidemiology

Research Associate in Influenza Dynamics x 3 posts

MRC Centre for Outbreak Analysis and Modelling

Influenza is an ideal case study for human disease ecology. We have many different tools with which to observe it and it continually presents new scientific challenges with direct public health impact. For example, how does repeated vaccination of children with a live vaccine affect their immune state as they age? And, how much additional human transmissibility do individual genetic mutations confer when they occur in avian influenza?

These three posts provide the opportunity to develop state-of-the-art mathematical models within a world-renowned quantitative department; and to test those models against some of the best available data. All appointees will work on two Wellcome Trust funded projects. The first, the FluScape study in southern China, has enrolled ~1000 households in 40 communities in order to measure social contacts and immunological exposure to influenza. Its primary objectives are to better understand the transmission of respiratory pathogens through space and over the course of a human life span. This study is in collaboration with a number of international partners, including Johns Hopkins, University of Florida, University of Hong Kong, Shantou University and the People’s Number 12 Hospital in Guangzhou. 

The second project is in collaboration with Wendy Barclay and Paul Kellam (both Imperial) and Colin Russell (Cambridge). This is a lab-based study of the evolution of avian influenza into human pandemic strains. We will use modern Bayesian inference to better measure the transmissibility of avian influenza strains within a laboratory model, aiming to directly quantify the importance of individual mutations.

The successful candidates will have a PhD or equivalent in population biology, statistics, epidemiology, mathematics or a related discipline. They will have previous research experience using mechanistic models, have demonstrated a strong track record of complex scientific computation, and be willing to work in the R computing environment going forwards. Successful candidates will be able to demonstrate a strong interest in both the science and public health of infectious disease.

These are designed as three full time, fixed term posts available for 36 months in the first instance. We also encourage applicants who may want to to work less than full time. Post holders will be based at the St Mary’s Campus in Paddington, London.

For informal enquiries please contact Steven Riley, s.riley@imperial.ac.uk

Our preferred method of application is online via our website at http://www.imperial.ac.uk/job-applicants (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number SM001-17KO.

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