Research & Development Specialist Data Analyst
Listed on 2026-01-14
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Research/Development
Data Scientist -
Healthcare
Data Scientist
Research & Development Specialist Data Analyst
The closing date is 23 January 2026
University Hospital Southampton NHS Foundation Trust is delighted to offer a fantastic opportunity to work with us.
Please see below for detailed job description of the role.
Main duties of the jobWe are looking for two highly motivated research data analysts to join our rapidly expanding Data & AI Research Unit, working at the cutting‑edge of NHS data research within the R&D department se posts form part of a team created to support the delivery of the Southampton Emerging Therapies and Technologies (SETT) Centre, and scale data research across the region.
About usUniversity Hospital Southampton is one of England’s largest acute teaching Trusts, offering a wide range of learning and development opportunities to support your career aspirations. Located on the south coast with an international airport and direct rail links to London, Southampton offers an ideal setting to live and work, with the New Forest, South Downs and Jurassic Coast.
At UHS we’re committed to providing a flexible working environment where possible. Whether you are balancing family, study, or your wellbeing with your career, we want to support you so you can help our patients.
At UHS, we proudly champion individuality, recognising that outstanding care is only possible with a diverse, inclusive team. We’re committed to creating an anti‑racist, anti‑discriminatory environment where everyone feels valued, safe, and empowered to make a meaningful impact in our communities. We welcome applicants of all backgrounds, identities, and experiences to join us in building a healthcare community where everyone can belong, thrive, and contribute.
Jobresponsibilities
The SETT Data & AI Research Unit is the data science arm of the hospital supporting clinical research through the design of scalable and reproducible analytical/ML pipelines. We’re a highly collaborative and forward‑thinking team at the forefront of NHS data research and are passionate about unlocking clinical data at scale to drive better outcomes for our patients.
Our analysts also contribute to the team’s longer‑term innovation projects to advance the field of health data research. The role involves building relationships with clinicians, academics, and partners in UHS, as well as across NHS and university networks. We’re looking for creative, self‑starting analysts who thrive in collaborative environments with multidisciplinary teams. Candidates must have working engineering/analytical proficiency in our core stack of SQL and Python.
This is a great opportunity to join a rapidly growing unit and play a key role in shaping the future of data‑driven healthcare.
The SETT data team are also an integral part of the Wessex SDE programme hosted by UHS. The Secure Data Environment programme is a national programme aimed at maximising the use of NHS data, providing safer, more secure, and faster access to different types of NHS data as well as ensuring consistent standards and interoperability.
What you’ll doThe Data & AI Research Unit works closely with Research & Development to support clinical and academic researchers. The unit collaborates with teams spanning various specialties within the hospital, in academia, and across the NHS. These range from national collaborations to drive big data NHS research efforts, to the in‑house development of novel and experimental tools to streamline data analytics, to tackling significant operational challenges such as complex discharges and patient flow through the deployment of machine learning algorithms.
- Develop automated SQL extraction pipelines to produce high‑quality datasets for research projects, from cohort identification through to transformation and standardisation of clinical data.
- Support the team’s aims to expand research capacity within the hospital and across the wider region.
- Support the NHS Wessex Secure Data Environment programme, linking regional data across care settings.
- Work collaboratively with healthcare practitioners, academics, operational teams, and research groups.
- Support the team’s efforts to develop innovative tools to streamline data…
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