You will be joining a team of leading experts in exposure science, epidemiology, biostatistics, and public health studying the social and environmental determinats of health across the UK.
You will be based in the Small Area Health Statistics Unit () at Imperial School of Public Health, which is internationally renowned for data-driven research on population health and environmental health. You will be leading (research associate) and/or contribute to (research assistant) scientific studies on social and environmental determinants of health, with a focus on data linkage including the use of Unique Property Reference Number (UPRN), clustering and trend analysis, and studying health inequalities. Important challenges are the integration of diverse and complex national geospatial data, the application of advanced model algorithms, and secure linkage to health data assets.
You must have exceptional analytical and critical thinking about scientific problems, deep knowledge and intuition of quantitative methods, motivation for problem solving, experience with large geosaptial datasets, ability to efficiently manage large quantities of data, excellent coding skills in R or Python or related programming languages, strong communication capabilities, aptitude for interdisciplinary research and teamwork, and ability to work and learn independently.
You will be joining a team of which are conducting cutting edge research into the social and environmental determnats of health and shaping the future health data landscape in the UK.
Via your link to the MRC Centre for Environment and Health you will have access and the opportunity to contribute to the wide range of training opportunities, personal development and social events and activities offered by the .
You will be based within a world-leading institution and benefit from the wide range of opportunities that Imperial has to offer such as sector-leading, opportunities for promotion and progression, a sector-leading salary and remuneration package, including 39 days off a year and generous pension schemes.