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Research Officer & Data Scientist

Job details
Posting date: 31 July 2025
Salary: £39,355 to £45,413 per year
Additional salary information: together with USS pension benefits
Hours: Full time
Closing date: 17 August 2025
Location: Swansea, Wales
Remote working: On-site only
Company: Swansea University
Job type: Contract
Job reference: SU01133

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Summary

This is a Fixed Term post until 31st October 2027n working full-time.

The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/) supports world-leading research to develop cutting-edge analytical tools and methodologies to address the most pressing health research challenges. Home to Researchers & Data Scientists who focus on a range of projects and programmes that seek to improve services and people's lives through population data science research. This multidisciplinary team works in a fast-moving, agile environment and is committed to demonstrating the value of data science to a range of technical and non-technical audiences.

Our group works as part of multidisciplinary collaborations involving members of the public, researchers, policymakers, and service leads across a range of organisations, including Welsh Government, academia, public health, health and social care, and third-sector organisations in Wales and the UK. Utilising the Secure Anonymised Information Linkage (SAIL) Databank’s (www.saildatabank.co.uk) rich anonymised population-scale, individual-level, linked data sources to answer important population-level questions that inform policy and evaluate national programmes and projects.

We are looking for a Research Officer & Data Scientist to join our team who will work closely with various stakeholders, organisations, and groups. Our team regularly collaborates as part of many funded research projects and programmes nationally and internationally. Applications are sought for applicants with skills and experience in routine data analysis (preferably in health or social care) and a background in any of the following areas/backgrounds: epidemiology, statistics, operational research, or related informatics backgrounds to work on data science research.

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