Royal United Hospitals Bath NHS Foundation Trust
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 solutions.
- Producing reports, dashboards and visualisations that support decision-making and service improvement.
- Providing specialist advice on analytics, artificial intelligence and data science methodologies.
The ideal candidate will have experience of working with complex datasets, strong skills in data analysis and programming, an ability to communicate complex information clearly to non-technical audiences, and a collaborative approach to working with multidisciplinary teams.
Person Specification
Qualifications and Training
Essential
- Degree in Data Science, Statistics, Computer Science or a related discipline, or equivalent experience.
Desirable
- Postgraduate qualification in Data Science, Artificial Intelligence, Health Informatics or a related subject.
Knowledge and Experience
Essential
- 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.
Desirable
- Experience of working with healthcare, clinical or patient-reported outcome (PROMs) datasets.
- Experience of working within NHS, academic or research environments.
Skills and Abilities
Essential
- 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.
Desirable
- 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.
Personal Qualities
Essential
- 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
Essential
- 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.
Closing Date: 27 September 2026
To apply for this job please visit apps.trac.jobs.