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Imperial College London

Research Assistant in Population Health (2 Posts)

Job description

This is an exciting opportunity to join an interdisciplinary research group and contribute to, and lead, innovative and high-impact research in population health and global health. The overall theme of the research is analysing the trends in different measures of population health. The work is at the cutting edge of global health science and data analytics and arises from collaborative research with the World Health Organization and with a network of scientists from most of the world’s countries, which will give the work significant scientific and policy impact and visibility.
You will be based in the Global Environmental Health Research Group ( at Imperial School of Public Health, which is internationally renowned for data-driven research on population health and global health. 
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 heterogenous datasets, ability to efficiently manage large quantities of data, excellent coding skills in R or related programming languages, strong communication capabilities, aptitude for interdisciplinary research and teamwork, and ability to work and learn independently.

Duties and responsibilities


  • Potential areas of work include: clustering and trends in multiple health conditions; detecting periods of acceleration or stagnation in health improvement; health forecasting; health inequalities
  • Contribute to scientific studies, including data collation/management, development and implementation of methods, analysis and interpretation of results
  • Maintain accurate and complete records of all analyses, and their methods and findings
  • Contribute to publications to refereed journals
  • Present research findings at academic conferences and to non-technical audiences
  • Contribute to reports for submission to research sponsors
  • Attend research group meetings and other relevant meetings
  • Undertake any necessary training and/or development
  • Essential requirements
  • A strong undergraduate degree or MSc in mathematics/applied mathematics, physics, applied statistics, data science, engineering, epidemiology or a related subject
  • Experience in application of quantitative/statistical methods
  • Research experience in a quantitative discipline or using advanced quantitative methods
  • Experience in exploring, managing and preparing large, multi-dimensional and heterogeneous datasets
  • Experience of using and programming in R or related programming languages
  • Knowledge of quantitative methods from (applied) mathematics, statistics, econometrics, machine learning, and ideally a combination
  • Knowledge of complex data and databases
  • Knowledge of R or related languages
  • Programming in R or related programming languages
  • Excellent written and oral communication skills and the ability to write clearly and succinctly
  • Ability to effectively communicate/work with diverse group of collaborators
  • Ability to write research papers and reports
  • An interest and willingness to learn new skills quickly
  • Superior ability to understand and effectively present complex concepts and data, especially for scientific data
  • A meticulous approach and attention to detail
  • Superior critical thinking
  • Ability to prioritise tasks and organise work effectively to meet deadlines, including in the presence of competing demands on time
  • Ability to work well independently as well as part of a team
  • Ability to work with a minimum of supervision
  • Excellent organisational skills
  • For more information and to apply, click 'Apply Here'.
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