Research Fellow / Senior Research Fellow in Statistics/Epidemiology

UCL Eastman Dental Institute; London; On-site; GBP 38,000 - 45,000; Full time

Job summary

A leading academic institution seeks a Research Fellow / Senior Research Fellow in Statistics/Epidemiology. This role focuses on data analysis to inform national health policy through social prescribing, providing opportunities to publish and teach. Candidates should have a relevant PhD and skills in statistical programming.

Benefits

41 Days holiday

Defined benefit pension scheme

Cycle to work scheme

Enhanced maternity and paternity pay

Qualifications

• PhD or submission of thesis required.
• Expertise in statistical analysis and data manipulation.
• Track record of high-quality original research.

Responsibilities

• Conduct statistical analyses on social prescribing data.
• Deliver reports influencing national health policy.
• Supervise MSc students and teach relevant courses.

Skills

Statistical analysis

Data manipulation

Collaboration

Education

PhD in epidemiology, quantitative social science, statistics or related discipline

Tools

STATA

R

Job description

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Research Fellow / Senior Research Fellow in Statistics/Epidemiology, London

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

3f6605b3523d

Job Views:

5

Posted:

22.06.2025

Expiry Date:

06.08.2025

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Job Description:

About the role

We are seeking an ambitious and outcomes-driven quantitative researcher to join the UCL Research Department of Behavioural Science and Health, working at the forefront of social prescribing analytics. This is a unique opportunity to translate large-scale administrative and survey data into real-world insights that shape national policy and community care.

You will join the Social Biobehavioural Research Group, led by Prof. Daisy Fancourt, recently designated as the National Centre on Social Prescribing Data & Analysis. As part of this high-impact team, you will conduct robust statistical analyses to understand the distribution, uptake and impact of social prescribing in the UK, using data such as electronic health records, social prescribing routine data, survey and clinical trial data.

Key outcomes you will deliver:

• High-quality peer-reviewed publications based on rigorous statistical methods
• Data-driven reports and briefings to influence national health policy through collaboration with the National Academy for Social Prescribing, NHS partners, and government bodies.
• Contributions to the national research agenda and funding landscape in social prescribing.
• Supervision of MSc students and delivery of teaching aligned with UCL’s Health Psychology and Population Health programmes.
• This is a fixed term contract with external funding until 31 August 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, per annum inclusive of London allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
• This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit 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
• Please ensure you upload the following with your application: - CV with full publication list - A personal statement no longer than 2 sides of A4
• If you have any queries regarding the vacancy or the application process, please contact Dr Feifei Bu (email: )
• 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 (email: )

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 ( 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 some of which are below:

• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan and expenses
• Relocation scheme for certain posts
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service