Research Fellow in Pharmacoepidemiology Full-time NEW

Research Fellow In Pharmacoepidemiology

This is a fixed-term postdoctoral position that will last till the end of January 2027. We are seeking a highly motivated Research Fellow to support pharmacoepidemiology research using large healthcare databases. The postholder will contribute to a research programme examining patterns of disease conditions and medication use among older adults living with dementia. The work will involve the analysis of large population-based datasets, including UK Clinical Practice Research Datalink (CPRD) data and linked health records, to generate evidence that can help us better understand the role of cardiovascular disease and related risk factors in dementia.

The postholder will work within a collaborative international research programme and will contribute to study design, data preparation, statistical analysis, and dissemination of findings through academic publications, conference presentations, and web-based interactive tools.

The postholder will:

• Contribute to the design and delivery of pharmacoepidemiology studies using large healthcare databases.
• Prepare and manage datasets, including cohort construction, variable definitions, and quality checks.
• Conduct statistical analyses using R or similar statistical software
• Contribute to studies examining patterns of diseases and medication use in people living with dementia
• Contribute to data visualisation and development of interactive web-based tools to support research dissemination.
• Contribute to manuscripts, conference abstracts, and presentations, support documentation and reproducible workflows.
• Work collaboratively with researchers across international partner institutions.

This is a fixed-term role until 31 January 2027.

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 (salary £38,357 – £41,005 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis.

This position is on a full-time basis.

Interview will be arranged on a first-come-first-serve basis.

This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit for more information.

If you have any queries about the role, please contact Dr. Wallis Lau at wallis.lau@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 Administrator.