Senior Research Fellow in Statistics

Swansea University - Faculty of Medicine, Health and Life Science

Placed On: 6th February 2026

Closes: 22nd February 2026

Job Ref: SU01396

About The Role

This is a Fixed Term contract until 31st May 2028 working 21 hours per week.

We are looking for a Senior Research Fellow in Statistics to advance the dynamic research portfolio of the Population Data Science group (https://popdatasci.swan.ac.uk/) at Swansea University Medical School. The successful applicant will lead the development and application of advanced analysis methods utilising the rich linked-data environment at Swansea University to deliver high-impact research of public health and policy relevance. The post holder will be based in the Statistics Team, working closely with senior researchers nationally and internationally under the leadership of Professor Rhiannon Owen.

The Population Data Science group is home to leading researchers, data scientists and statisticians who focus on making the best use of large-scale multi-dimensional data to improve the lives of the population. Our team of experts develop cutting-edge analytical tools and methodologies to link and analyse administrative, environmental, and health (including biological, clinical and genomic) data to address the most pressing health research challenges. The advanced analytics team specialise in the development and application of statistical methodology (including Bayesian methods, advanced survival analysis and causal inference) to utilise this data to address complex health policy questions. As part of the Population Data Science group, the post holder will be supported in undertaking innovative and impactful research, engaging with national and international partners and stakeholders, and continuing professional development through advancing skill sets and strategic expertise.

Applications are sought from individuals with a national or international reputation in the development and application of methods for the analysis of large scale-data (including evidence synthesis) with a background in any of the following areas: statistics, mathematics, operational research, or related data science disciplines with a significant advanced analytical component. Whilst specialisations are flexible, alignment with the research interests of the Population Data Science group is required.

Welsh Language Skills

The Welsh language level required for this role is Level 1 - A little. The role holder will be able to pronounce Welsh words, answer the phone in Welsh (good morning/afternoon) and use very basic everyday words and phrases (thank you, please etc.). Level 1 can be reached by completing a 1 hour course.

The University is a proud bilingual institution, our Welsh Language Strategy outlines our aspiration to promote the language and enable our staff to engage with the language as an additional workplace skill and as a gateway to new cultural and social opportunities. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English. Welsh speakers have the right to an interview in Welsh. Applicants for a role where Welsh skills are essential are expected to present their application in Welsh and will be interviewed in Welsh, if shortlisted.

Additional Information

Applications for this role will take the format of a CV submission and cover letter.