Research Officer and Data Scientist - Population Data Science

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.

We have 2 fixed term roles available working full‑time, one ending on 30th September 2029 and one maternity cover until 30th April 2027.

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.

Utilising the Secure Anonymised Information Linkage (SAIL) Databanks (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 from applicants with skills and experience in routine data analysis (preferably in health or social care) and a background in any of the following areas: epidemiology, statistics, operational research, or related informatics, to work in research and data science.

The Research Officer & Data Scientist will be part of the ADR Wales (Administrative Data Research Wales) (https://adrwales.org/), which brings together world‑renowned data science experts, leading academics and specialist teams within Welsh Government to produce evidence that shapes future policy decisions in Wales. The partnership is ideally placed to maximise the utility of anonymous and secure data to shape public service delivery, which will ultimately improve the lives of people in Wales.

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. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English.

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. 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.

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