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Data Scientist

Barts Health NHS Trust
£58,698 to £65,095 per annum inc
Closing date
28 Jul 2024

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Healthcare scientist
Band 8A
Full Time
Data Scientist - Band 8A

We have an exciting opportunity for a data scientist to join a unique team aiming to reduce to reduce health inequalities in North East London within the next 3 years.

We are looking for a talented and collaborative colleague, who wants to make a difference. The postholder will work with clinical, data and academic teams to use Natural Language Processing techniques on free-text combined with Electronic Health Record datasets to build a predictive geographical map of heart disease in North East London, allowing better targeting and delivery of diagnostic testing.

Main duties of the job

The Barts Health PREDICT project aims to leverage real-world patient data to extract clinical and social determinants of cardiovascular health, and then identify at-risk social and geographic groups who will have enhanced access to echocardiography, a clinical test that can detect heart disease years before it becomes dangerous.

To excel in this role, you will be capable of independent and team-oriented work, have some academic experience, have skills in building reproducible data pipelines and in real-world data analysis, including machine learning techniques.

If you are interested in applying and would like further information about this role or wish to have an informal discussion, please contact Dr. Sophie Williams via email at,

About us

Barts Health is one of the largest NHS trusts in the country, and one of Britain's leading healthcare providers.

The Barts Health group of NHS hospitals is entering an exciting new era on our improvement journey to becoming an outstanding organisation with a world-class clinical reputation. Having lifted ourselves out of special measures, we now have the impetus and breathing space to chart a fresh course in which we are continually striving to improve all our services for patients.

Our vision is to be a high-performing group of NHS hospitals, renowned for excellence and innovation, and providing safe and compassionate care to our patients in east London and beyond. That means being a provider of excellent patient safety, known for delivering consistently high standards of harm-free care and always caring for patients in the right place at the right time. It also means being an outstanding place to work, in which our WeCare values and behaviours are visible to all and guide us in how we work together.

We strive to live by our WeCare values and are committed to promoting inclusion, where every staff member has a sense of belonging. We value our differences and fully advocate, cultivate and support an inclusive working environment.

We particularly welcome applications from Black, Asian and minority ethnic candidates as they are underrepresented within Barts Health at this band.

Job description

Job responsibilities

We are dedicated to being an outstanding place to work and will work with you to get the best experience. We know flexible working is not a one size fits all and will mean something different to everyone. We are inclusive, so if you are interested in flexible working, please speak to the recruiting manager.

The full job description provides an overview of the key tasks and responsibilities of the role, and the person specification outlines the qualifications, skills, experience, and knowledge required. For both documents, please view the attachment/s below

Person Specification



  • A PhD or masters with equivalent professional experience in a field with relevance to health data science / Epidemiology
  • Experience in natural language processing and AI
  • Expertise building statistical models, use of machine learning using Python libraries, and MLOps tools
  • Experience mining and analysing electronic health records (EHR) and knowledge of clinical terminologies i.e. SNOMED-CT
  • Experience with one or more data management tools (SQL etc.)
  • Demonstrable use of programming in collaborative and Reproducible Analytical Pipelines (Git, DevOps)
  • Experience using data visualisation for understanding and communicating large or complex data to non-technical audiences
  • Demonstrated ability to assimilate new ideas and work with problem owners to turn ideas into practical, applied techniques, and willingness to continue to learn new techniques
  • Demonstrable experience of leading one's own work, including planning and execution
  • Knowledge of appropriate procedures for information governance, especially when using patient data
  • Experience working in the cloud, with platforms for distributed computation and use of GPUs



  • Excellent verbal and written communication skills, including technical documentation
  • Able to work and communicate effectively with Senior staff, senior Consultants and other senior Executive/Non-executive staff within and outside the NHS, including the ability to present complex or technical information clearly and the ability to work with others to understand the problems they face
  • Ability to bring together teams comprised of different job roles and organisations.
  • Experience managing groups within a project
  • Ability to rapidly develop strong working relationships and gain the confidence of others
  • Flexible and co-operative
  • Self-motivated and hardworking
  • Presentation of specialist material in a logical, coherent and interesting manner to a range of audiences - including use of standard technical project templates, ie Cookiecutter
  • Willingness to learn new skills
  • Willingness to work flexibly in order to achieve project demands


  • Ability to play a collaborative role in applying for grant funding for research as appropriate to discipline



  • Demonstrable experience in health data science or statistics or epidemiology
  • Knowledge of management procedures
  • Understanding of digital health innovations



  • PhD or masters qualification with equivalent expertise/experience in a quantitative scientific discipline (eg mathematics, statistics, engineering, physics, computational biology, computer science or a relevant discipline).
  • Undergraduate degree in relevant subject or equivalent qualification



  • Willingness to work occasionally outside normal hours (but within conditioned hours) to meet deadline

Employer details

Employer name

Barts Health NHS Trust


St Bartholomew's Hospital / Canary Wharf / Whitechapel



Any attachments will be accessible after you click to apply.


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