Research Data Scientist

Barts Health NHS Trust; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A prominent healthcare organization in the UK is seeking a Senior Data Scientist to apply advanced data science techniques to healthcare data. This role involves developing predictive models, collaborating across various teams, and translating insights into clinical decision support. The ideal candidate holds a PhD in a relevant field and has experience with healthcare data and machine learning tools.

Benefits

Cycle to work schemes

Commitment to sustainability

Qualifications

• Proven experience working with healthcare or clinical data.
• Ability to present complex information to senior staff.
• Experience with patient data governance procedures.

Responsibilities

• Lead the development of predictive models for disease outcomes.
• Work with clinical and technical teams on project outputs.
• Translate analytical findings into actionable insights.

Skills

Statistical modelling

Machine learning with Python

Natural language processing

Data visualisation

SQL proficiency

Cloud platforms experience

Verbal communication

Collaboration in multidisciplinary teams

Education

PhD or equivalent in quantitative discipline

Tools

scikit-learn

Keras

TensorFlow

Azure

Job description

Job Overview

Barts Life Sciences is looking for a Senior Data Scientist to join our innovative and growing team. In this role, you will apply advanced data science techniques to healthcare data, helping to develop products and services that directly improve patient outcomes. Example projects include designing models to predict disease outcomes from structured and unstructured medical records, and using real‑time clinical data to forecast inpatient stay outcomes. You’ll benefit from access to rich healthcare datasets, advanced computing resources, and strong collaboration across clinical, technical, and academic teams.

Responsibilities

• Lead the development of predictive models for disease and inpatient stay outcomes using structured and unstructured data.

• Work with clinical and technical teams across the Trust, research groups at Queen Mary University of London, industry partners, and patient groups to prioritize and deliver project outputs.

• Scale analyses using advanced computing resources and develop reproducible, collaborative pipelines.

• Translate analytical findings into actionable insights for clinical decision support and public health interventions.

Qualifications

• PhD or equivalent expertise in a quantitative scientific discipline (e.g., mathematics, statistics, engineering, computational biology, computer science).
• Proven experience working with healthcare or clinical data and with structured and unstructured data sources.
• Expertise in statistical modelling and machine learning using Python libraries such as scikit-learn, Keras, and TensorFlow.
• Strong experience in natural language processing and data visualisation for non‑technical audiences.
• Proficiency in data management tools (SQL, etc.) and reproducible analysis pipelines.
• Experience with cloud platforms (preferably Azure) and ability to use cloud resources for large‑scale analyses.
• Excellent verbal and written communication skills, with the ability to present complex information clearly to senior staff and executives.
• Ability to collaborate in multidisciplinary teams, support grant applications, and work with senior NHS staff.
• Knowledge of information governance procedures when using patient data.

Desirable Criteria

• Experience developing and deploying AI solutions within the healthcare sector.
• Experience mining and analysing electronic health records (EHR) and knowledge of clinical terminologies such as SNOMED‑CT.
• Familiarity with large language models applied to healthcare problems.
• Evidence of academic publishing (peer‑reviewed journals, conference proceedings).

Visa Sponsorship Information

To be eligible for sponsorship, the role must be on the UK Skilled Worker visa list, meet the minimum salary threshold, and require a minimum skill level of RQF Level 6. Applicants must also demonstrate English proficiency at CEFR level B1 or higher. If you require sponsorship, please state this clearly in your application.

Equal Opportunity

We particularly welcome applications from Black, Asian and minority ethnic candidates as they are underrepresented within Barts Health. As an Equal Opportunities Employer, we actively support applications under the Guaranteed Interview Scheme.

Additional Information

Barts Health is committed to safeguarding the welfare of children and to child protection. You may be required to undertake a Disclosure and Barring Check if appointed to a post with direct access to children or vulnerable adults. We promote active travel and sustainability through initiatives such as cycle to work schemes and Net Zero goals.