You are here

Study and Career

Research Associate in Population Health and Quantitative Methods

Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine


The position will be in the Environment and Global Health Research Group. The group is internationally renowned for its research in a number of areas including exposure and health effects of preventable risk factors, health forecasting, and spatiotemporal analysis of multi-dimensional health data.

Location: London

Salary: £36,800 - £44,220 per annum

Contract Type: Full time, fixed term until 31 January  2019

Closes: 25 August 2017 (midnight BST)


This is an exciting opportunity for an ambitious researcher to join a dynamic research group and carry out innovative methodological and empirical research in population health, environmental health, and global health. The position will involve the development, implementation, and application of novel methodology to answer a range of important questions in these areas. The work is at the cutting edge of global health science, and arises from collaborative research with the World Health Organization and with a worldwide network of scientists from most of the world's countries, which will give the work far-reaching scientific and policy impact and visibility.

The ideal candidate must hold a PhD or equivalent in applied mathematics; (computational) statistics, physics, biostatistics, computer science, systems dynamic/modelling, econometrics, demography or a related quantitative subject; have substantial experience with statistical and/or mathematical and/or computational methods and models; superb programming skills; and track record of technical and scholarly excellence as demonstrated by publications and methods development and application.

For informal discussions please contact Professor Majid Ezzati ( in the Department of Epidemiology and Biostatistics. Our preferred method of application is online via our website at (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 SM102-17AL

More information
United Kingdom
Imperial College London