The position will involve working in Professor Daisy Fancourt’s Social Biobehavioural Research Group, whose research focuses on how social connections and behaviours impact people’s health. By conducting cutting edge interdisciplinary research, UCL-SBB aims to determine how our health is influenced by both social ‘assets’ and ‘deficits’. These include social relationships, arts, culture and leisure (assets), as well as loneliness, isolation, and social restrictions (deficits).
About the role
This position is part of a £1 million NIHR Advanced Fellowship (CLASP) led by Dr Jess Bone, which tests whether community leisure activities could have a role in preventing youth anxiety and depression. The post holder will use epidemiological methods with a range of cohort and panel studies, supporting the project through managing and cleaning datasets, undertaking longitudinal data analyses, and using statistical methods for causal inference.
Application Details:
- The position is available from 1st September 2026 and is a fixed-term contract, with external funding until 1st September 2028 in the first instance.
- Appointment at Grade 7 is dependent on award and confirmation of a PhD (or equivalent). If this is not the case, initial appointment will be at Research Assistant Grade 6B, point 26 (£39,807 - £41,833 per annum) with payment at Grade 7, point 32 (£46,261 - £52,586 per annum) being backdated to the date of final submission of the PhD thesis. 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 Jess Bone (bone@ucl.ac.uk).
- 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 (kristensen@ucl.ac.uk).
About you
The candidate 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 inference methods. The candidate should also have excellent oral and written communication skills and a strong ability to work to deadlines.
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.
You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/
Customer advert reference: B02-10558
