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
• Using real-time clinical data to forecast inpatient stay outcomes
As part of Barts Life Sciences, you’ll benefit from access to rich healthcare datasets, advanced computing resources, and strong collaboration across clinical, technical, and academic teams. You’ll also work closely with Queen Mary University of London, industry partners, and patient groups to ensure that your work drives real-world impact in healthcare.
We’re looking for someone with:
• Proven experience working with healthcare or clinical data
• Strong expertise in data science and modelling (structured and unstructured data)
• Ability to thrive in a multidisciplinary, collaborative environment
Why join us?
At Barts Life Sciences, you’ll have the opportunity to shape the future of healthcare innovation and see your work make a meaningful difference to patients’ lives.
Main duties of the job
This role is for a talented senior data scientist to join a growing team which is focused on projects and applications of healthcare data to deliver innovative health care products and services. Example projects include developing models to predict disease outcomes from structured and unstructured patient medical history, and predicting inpatient stay outcome from clinical data streams.
As part of Barts Life Sciences, the postholder will have access to data and computation power, knowledge and innovation to lead the project’s development and genuinely impact patient care. We have a close network of clinical and technical teams across the Trust, research groups at Queen Mary University of London, industry collaborators and engaged patient groups to prioritise and spread project outputs.
Working for our organisation
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.
Detailed job description and main responsibilities
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.
Person specification
Experience
Essential criteria
Excellent verbal and written communication skills, with the ability to explain complex or technical information clearly
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 play a collaborative role in applying for grant funding for research as appropriate to discipline
Skills
Essential criteria
A PhD qualification or equivalent expertise/experience in a quantitative scientific discipline (eg mathematics, statistics, engineering, physics, computational biology, computer science or a relevant discipline).
Knowledge
Essential criteria
Knowledge of appropriate procedures for information governance, especially when using patient data
Qualifications
Essential criteria
Expertise building statistical models and use of machine learning using Python libraries such as Scikit-learn, Keras, and TensorFlow frameworks
Experience in natural language processing
Experience with one or more data management tools (SQL etc.)
Demonstrable use of programming in collaborative and reproducible analysis pipelines
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
Experience using cloud platforms, preferably Azure
Desirable criteria
Demonstrable experience in developing and deploying AI within the healthcare sector.
Experience mining and analysing electronic health records (EHR) and knowledge of clinical terminologies i.e. SNOMED-CT
Knowledge of and experience in the use of large language models applied to solve healthcare and/or business problems
Evidence of experience in academic publishing, such as peer-reviewed journal articles and conference proceedings.
**Visa Sponsorship Information**
Recent changes to UK immigration policy on the Health and Care Visa and Skilled Worker Visa could mean that this role is not eligible for sponsorship or that you may not meet the eligibility criteria.
Sponsorship can only be offered if this post and any individual offered employment meet all the Home Office’s requirements under the UK Skilled Worker visa scheme.
If you are applying from outside the UK or will require sponsorship, please mention this clearly in your application.
To be eligible for sponsorship, the following conditions must be met:
Eligible role: The position must be on the UK Skilled Worker visa list. You can check your eligibility here: -
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Salary threshold: The role must meet the minimum salary set by the Home Office. Please note that for roles employed under Agenda for Change Terms and Conditions, the High-Cost Area Supplement (HCAS) is not included when calculating the basic salary for the purposes of sponsorship.
Skill level: The role must meet the minimum skill requirement of RQF Level 6 or above (graduate level).
English language: Applicants must demonstrate English proficiency at CEFR level B1 or higher.
Other criteria: Applicants must meet all other criteria as set out by the UK Visas and Immigration (UKVI)
