Research & Development Specialist Data Analyst
| Posting date: | 18 August 2025 |
|---|---|
| Salary: | Not specified |
| Additional salary information: | Negotiable |
| Hours: | Full time |
| Closing date: | 07 September 2025 |
| Location: | Southampton, SO16 6YD |
| Company: | NHS Jobs |
| Job type: | Permanent |
| Job reference: | C9188-25-0686 |
Summary
ABOUT THE TEAM 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. Were 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 teams 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. Were looking for creative, self-starting analysts who thrive in collaborative environments with multidisciplinary teams. Candidates must have a 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 ensure consistent standards and interoperability. WHAT YOULL DOThe Data & AI Research Unit works closely with Research & Development to support clinical and academic and 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. Working closely with other analysts and data scientists in the team, you will: 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 teams 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 teams efforts to develop innovative tools to streamline data research, and help to direct the teams longer-term aims. WHAT WERE LOOKING FORThe following skills and experience would position a candidate well for this role: Degree in a numerate or scientific discipline, with demonstrable working experience applying a critical and analytical approach to problem solving. Proficiency in our core stack of Python and SQL (other development experience is also welcome), and experience working with large clinical or commercial databases. At least two years experience in a statistical, research, or analytical role (either commercial or health-related), including working with sensitive data. Comfortable working collaboratively with multidisciplinary clinical and academic teams, acting as the technical subject matter expert and able to translate for non-technical colleagues. Proactive self-starter, able to drive projects independently from conception to delivery, and enjoys working with autonomy over their own work. Experience in a client-facing environment with good interpersonal and communication skills, and experience of active collaboration within a larger team. A desire to continue developing data science skills from the wider teams combined expertise, including statistics and machine learning, Educational or working background in a bioscience, clinical or related field can be helpful, but not essential. Knowledge of research within the NHS can be helpful, but not essential. Attached you will find the person specification document which provides more detail about the essential and desirable skills and experience needed for this role. We highly recommend you review this document and use it when completing your application as these criteria are used by hiring managers as guidance during shortlisting. For an overview of the main duties of the role please see the Job Description and Main Responsibilities section below. To understand the day-to-day responsibilities in more detail please read the full job description document attached.