About The University
Swansea University is a research‑led university that has been making a difference since 1920. The university community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life.
Our stunning waterfront campuses and multicultural community make us a desirable workplace for colleagues from around the world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work‑life balance.
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 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.
Equality, Diversity & Inclusion
The University is committed to supporting and promoting equality and diversity in all its practices and activities. We aim to establish an inclusive environment and welcome diverse applications from the following protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, ethnic and national origin), religion or belief, sex, sexual orientation. As an inclusive and welcoming workplace, we value people for their skills regardless of their background.
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. 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.
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