Research Fellow in Epidemiology Full-time NEW

Research Fellow in Epidemiology

We have an exciting opportunity to join our group working on The Prospective Physical Activity, Sitting and Sleep consortium (ProPASS), which is a pooled resource of international cohorts on wearables and health outcomes.

This post will play an integral role in building the ProPASS infrastructure, including developing analytical platforms and contributing to scientific analyses on prospective outcomes. We are particularly interested in applicants with background in epidemiology and extensive experience in using R. Role specific details:

• This role is available from 1st June 2026 until 31 May 2028 in the first instance.

• Research Fellows – Appointment at Grade 7 is dependent upon having been awarded a PhD

Other:

• The advert will close on 28 May 2026 at 23:59 GMT, however we may close applications early if we receive a high volume of applications. Early application submission is recommended.

• If you have any queries about the role, please contact m.hamer@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 the HR Team on l.oppong@ucl.ac.uk

• The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please visit www.ucl.ac.uk/ways-of-working to find out more.

Closing an advert early: In the event we get a high number of applications, we may close the advert early before the published closing date. As a minimum we will keep all adverts open for 2 weeks.

• Higher academic degree e.g. PhD, or evidence of an equivalent level of attainment in research publications

• Post-doctoral research experience in academia or industry

• A track record of internationally excellent scholarly publication in the field of epidemiology / data science

• Experience of working with diverse stakeholders, including external collaborators

• Specific areas of experience:

-Expertise in the fields of epidemiology and data science

– Experience of using chronic disease outcomes, especially cancer

– Experience of using large scale population cohort data

– Experience in pooling/harmonising a series of different cohort studies using individual participant meta-analysis approach

– Expertise writing script in R Knowledge of accelerometery techniques to assess physical activity, sitting and sleep

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 • Relocation scheme for certain posts

• On-Site nursery

• On-site gym

• Enhanced maternity, paternity and adoption pay

• Employee assistance programme: Staff Support Service

• Discounted medical insurance

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

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. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce.

These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

Available documents:

• download: JD- Research Fellow in Epidemiology.pdf