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Research Fellow in Epidemiology & Statistics

UCL - Department of Behavioural Science and Health

Location: London, Hybrid
Salary: £39,148 to £52,586
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 12th December 2025
Closes: 23rd January 2026
Job Ref: B02-09846

About us

The Research Department of Behavioural Science and Health is dedicated to research on how human behaviour impacts health and health outcomes. Our research and teaching reflect our interdisciplinary approach to health and wellbeing, focusing on a broad range of public health issues, such as alcohol and tobacco use, heart disease, cancer, and obesity. Further information can be found at: www.ucl.ac.uk/epidemiology-health-care/research/behavioural-science-health

The position will be within Professor Daisy Fancourt’s Social Biobehavioural Research Group, which focuses on the impact of social behaviours and connections on health. This includes social deficits (e.g., loneliness, isolation, and COVID-19 lockdowns) and social assets (e.g., social connections, cultural and community engagement, nature engagement and social prescribing).

About the role

This position is part of a £3.5 million Wellcome Trust Discovery Award (GRACE-Epi), which explores the relationship between arts and cultural engagement and healthy ageing using epidemiological methods on a global scale. The post-holder will support this work through managing, cleaning, and harmonising datasets, and undertaking longitudinal and causal data analyses.

Application Details:

  • This is a fixed term contract with external funding until 1st March 2031 in the first instance.
  • Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (£39,148 - £41,833 per annum) with payment at Grade 7 (£45,103 - £52,586 per annum) being backdated to the date of final submission of the PhD thesis with no corrections. Salaries are inclusive of London Allowance.
  • This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.
  • This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

Application Process:

  • A full job description and person specification can be accessed at the bottom of this page.
  • Please use the personal statement section to explain how you meet each of the essential and desirable criteria outlined in the person specification

Contact Details:

  • If you have any queries regarding the vacancy or the application process, please contact Dr Hei Wan (Karen) Mak
  • If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact Maria Kristensen

About you

You should hold a PhD in statistics, medical statistics, epidemiology, quantitative social science or other relevant discipline, and be a highly motivated individual with experience in analysing cohort data using advanced longitudinal and causal statistical methods. You should also have excellent oral and written communication, and excellent ability to work to deadline.

What we offer

As well as the exciting opportunities this role presents we also offer some great benefits.

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent.

Our department holds an Athena SWAN Silver Award, in recognition of our commitment to advancing gender equality.

You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/

Customer advert reference: B02-09846

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