VACANCY: We are seeking a Data and Statistics Research Fellow to join our team!

Are you a data-minded researcher, with experience data science or statistics, and a keen interest in climate change and health?


The Lancet Countdown: Tracking Progress on Health and Climate Change is seeking to appoint a Research Fellow in Statistics and Data to provide analytical analysis support to the collaboration’s key academic outputs.

The appointee with join the Executive team of the Lancet Countdown, an international and multi-disciplinary research collaboration based out of the Institute for Global Health, University College London. The Lancet Countdown t brings together 43 leading academic and UN Institutions to track how climate change is affecting human health, and how the world is responding.


Working with the collaboration’s co-chairs – Professors Anthony Costello, Peng Gong, and Hugh Montgomery – and its Executive Director, the postholder will support the advancement of data and methods for the Lancet Countdown’s outputs; coordinate its annual indicator assessment and peer-review; and conduct novel analysis on the links between health and climate change to further support the Lancet Countdown’s academic work. The postholder will also have the opportunity to develop and expand a research program in the field of climate change and health in support of the overall Lancet Countdown aims and personal career development.

The post is available immediately to 31 July 2023, in the first instance.


The post holder will focus on improving the data and methods of the Lancet Countdown outputs, manage the collaboration’s database and online data visualisation platform, support the communication of data and findings,  and lead on primary research on the links between climate change and health.

Key Requirements

  • A PhD in statistics, medical statistics, epidemiology or equivalent relevant experience.
  • Good working knowledge of epidemiological concepts and techniques as well as experience working with large databases including geospatial data.
  • A strong familiarity with quantitative methods used in public health and/or environmental sciences and data design and visualisation skills are also essential as are excellent interpersonal and communication skills.
  • Excellent communication and interpersonal skills, including diplomacy and discretion, and the ability to liaise appropriately and effectively with staff and external individuals at all levels of seniority.
  • A willingness to travel and to participate in conference calls outside of normal working hours (1-2 hours per week after hours) with other time zones.

Application Details

For informal enquiries about the post please contact Marina Romanello by email at

The closing date for applications is the 6th of February 2022.

See the  full job description and apply here.