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Research Assistant in Epidemiology and Population Health

Imperial College London - Department of Epidemiology and Biostatistics

Location: London
Salary: £36,694 to £39,888
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 6th September 2021
Closes: 30th September 2021
Job Ref: MED02687

Job Summary

This is an exciting opportunity for a Research Assistant in Epidemiology and Population Health to join an interdisciplinary research group and contribute to innovative and high-impact research in population health and global health. The overall theme of the research is analysing the past, current, or expected future trends in population health. The work is at the cutting edge of global health science and policy and arises from collaborative research with the World Health Organization and with an extensive 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.  

Duties and responsibilities

Key responsibilities will include:

  • Identifying and collating high-quality data on population health together with worldwide academic and policy collaborators
  • Leading on the communication with collaborators regarding data and other project-related matters
  • Systematically checking data sources and their content for measures of quality and to record relevant meta-data for each data source
  • Managing databases consisting of large number of heterogeneous data sources
  • Extracting and organising data for statistical analysis and to conduct analyses
  • Attending research group meetings and other relevant meetings
  • Undertaking any necessary training and/or development

Essential requirements

You must have a good undergraduate degree or MSc (or equivalent) in epidemiology, demography, statistics, economics, mathematics or related subject; exceptional analytical and critical thinking; attention to detail; familiarity with large datasets, and ability to efficiently manage large quantities of data; knowledge of R, Python or related programming languages; and ability to work with other researchers and with diverse collaborators. There will be scope for you to learn skills and concepts that would position you for a strong application to PhD programmes.

Further Information:

This role is offered on a full time and fixed term until 31 December 2024.

Should you require any further details on the role please contact: Dr. Bin Zhou –

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

Closing date: 30 September 2021

To apply, visit and search by the job reference MED02687.

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