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RF/ SRF Fellow in Statistics/Epidemiology

UCL - Social Biobehavioural Research Group / Department of Behavioural Science and Health

Location: London, Hybrid
Salary: £44,480 to £63,752
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 11th June 2025
Closes: 7th July 2025
Job Ref: B02-08863

About us

The position will be within the Social Biobehavioural Research Group in the Research Department of Behavioural Science and Health. The post-holder will be involved in analysing administrative records and survey data to understand the distribution, uptake and impact of social prescribing referrals in the UK. These datasets include electronic health records from the Clinical Practice Research Datalink (CPRD) and cloud-based platforms that gather on social prescribing such as Access Elemental. The Social Biobehavioural Research Group leads globally recognised research into how social factors affect our physical and mental health, including both social assets (e.g. social relationships, arts and culture, leisure, nature) and deficits (e.g. loneliness, social isolation).

Explore our work and meet the team: sbbresearch.org

About the role

The position will be within the Social Biobehavioural Research Group in the Research Department of Behavioural Science and Health. The post-holder will be involved in analysing administrative records and survey data to understand the distribution, uptake and impact of social prescribing referrals in the UK. These datasets include electronic health records from the Clinical Practice Research Datalink (CPRD) and cloud-based platforms that gather on social prescribing such as Access Elemental.

Application Details:

  • This is a fixed term contract with external funding until 31 August 2027 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 25 (salary £ 38,607 per annum inclusive of London allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
  • This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation.

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
  • Please ensure you upload the following with your application: - CV with full publication list - A personal statement no longer than 2 sides of A4

Contract Details:

  • If you have any queries regarding the vacancy or the application process, please contact Dr Feifei Bu (email: f.bu@ucl.ac.uk )

About you

The place-holder should have a PhD in epidemiology, quantitative social science, statistics or other relevant discipline (if the degree has not yet been granted, the thesis should have been submitted to the degree granting university by the time of starting). They should be familiar with data manipulation and analysis of large-scale electronic health records, administrative datasets or cohort studies, with an expertise in statistical analysis using a command-based/programming language (e.g. STATA, R) and a track record of high-quality original research. They should be willing to work collaboratively and effectively as part of a multi-professional team and with external research collaborators partner, contributing to a positive work/ learning environment. Please see the full person specification for details.

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

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

Customer advert reference: B02-08863

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