Health Informatics Specialist / data Scientist
At a glance
- Band
- Band 7
- Contract
- Fixed-term
- Pattern
- Full-time, Part-time, Job share, Flexible working, Home or remote working
- Posted
- 08/09/2026
- Closes
- 27/09/2026
Sponsorship verdict
This contract type is not eligible for Skilled Worker sponsorship.
NHS Trusts cannot issue a Certificate of Sponsorship for part-time, bank, locum, zero-hours, job-share or short fixed-term (under 12 months) contracts under current Home Office rules. This applies even when the wider Trust holds a Skilled Worker licence.
Role summary
This role involves joining the Royal United Hospitals Bath NHS Foundation Trust to work on an NHS England-funded innovation project. The specialist will use advanced analytics, machine learning, and patient-reported outcome data to transform Rheumatology services. It's a unique opportunity to apply data science in healthcare, developing solutions to improve patient outcomes, reduce waiting lists, and increase service capacity. The ideal candidate will be passionate about using data, AI, and digital innovation to make a tangible difference to patient care.
Key responsibilities
- Lead data science and analytical activity for an innovative Rheumatology project.
- Develop and apply statistical and machine learning models using clinical and patient-reported outcome (PROMs) data.
- Manage, analyse, and interpret complex healthcare datasets while maintaining high standards of data quality and information governance.
- Work collaboratively with clinicians, researchers, digital teams, and IT colleagues to deliver data-driven solutions.
- Produce reports, dashboards, and visualisations that support decision-making and service improvement.
- Provide specialist advice on analytics, artificial intelligence, and data science methodologies.
Essential criteria
- Degree in Data Science, Statistics, Computer Science or a related discipline, or equivalent experience.
- Experience applying statistical analysis and/or machine learning techniques to real-world datasets.
- Experience working with large, complex datasets and producing analytical outputs to support decision-making.
- Experience of working with NHS data and a sound understanding of information governance, data protection and cyber security requirements.
- Experience presenting analytical findings and recommendations to a variety of audiences, including senior stakeholders.
- Experience leading or contributing significantly to data science or analytics projects.
- Proficiency in one or more analytical programming languages, such as Python, R or SPSS.
- Ability to manage, cleanse, manipulate and interpret complex datasets.
- Knowledge of machine learning and data science frameworks.
- Proficiency in SQL and an understanding of relational databases.
- Ability to design, undertake and interpret advanced analytical work.
- Ability to communicate complex information clearly to both technical and non-technical audiences
- Experience producing reports, dashboards, visualisations and presentations to support decision-making.
- Strong stakeholder management, influencing and communication skills.
- Innovative and proactive approach to problem solving and service improvement.
- Ability to work independently and manage competing priorities.
- Collaborative approach with the ability to work effectively across professional boundaries.
- Commitment to maintaining confidentiality and professional standards when handling patient information.
- Commitment to equality, diversity and inclusion.
- Motivated to improve patient outcomes and contribute to service innovation.
- Values and respects others and treats everyone as an individual.
- Demonstrates kindness, compassion and a commitment to patient-centred care.
- Works collaboratively and supports colleagues.
- Takes responsibility for their work and demonstrates a willingness to learn and embrace change.
- Takes pride in delivering a high-quality service and making a positive difference.
Desirable criteria
- Postgraduate qualification in Data Science, Artificial Intelligence, Health Informatics or a related subject.
- Experience of working with healthcare, clinical or patient-reported outcome (PROMs) datasets.
- Experience of working within NHS, academic or research environments.
- Experience of developing dashboards or deploying analytical models into operational use.
- Experience of Power BI or similar visualisation tools.
- Experience working within multidisciplinary clinical teams.
Useful to know
Agenda for Change 2024/25 pays Band 7 at £46,148 – £52,809 a year, across England.
This advert: £49,387 – £56,515 — outside the standard scale; check for HCAS/London weighting.
Posted 1d ago · Closes in 19d
Plenty of time to prepare a strong application.
Full advert · preview
Royal United Hospitals Bath NHS Foundation Trust
Health Informatics Specialist / data Scientist
The closing date is 27 September 2026
Job summary
Join us at the Royal United Hospitals Bath NHS Foundation Trust and play a pivotal role in an exciting NHS England-funded innovation project. Working alongside clinicians, researchers and digital teams, you will use advanced analytics, machine learning and patient-reported outcome data (PROMs) to help transform Rheumatology services across Bath, Swindon and Wiltshire.
This is a unique opportunity to apply data science in a real-world healthcare setting, developing innovative solutions that improve patient outcomes, reduce waiting lists and increase service capacity. If you are passionate about using data, AI and digital innovation to make a tangible difference to patient care, we'd love to hear from you.
Main duties of the job
Main duties include:
- Leading the data science and analytical activity for an innovative Rheumatology project.
- Developing and applying statistical and machine learning models using clinical and patient-reported outcome (PROMs) data.
- Managing, analysing and interpreting complex healthcare datasets while maintaining high standards of data quality and information governance.
- Working collaboratively with clinicians, researchers, digital teams and IT colleagues to deliver data-driven so
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