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.
Responsibilities
* Design models to predict disease outcomes from structured and unstructured medical records
* Use real-time clinical data to forecast inpatient stay outcomes
* Lead projects applying healthcare data to deliver innovative healthcare products and services
* Collaborate across clinical, technical, and academic teams, including engagement with Queen Mary University of London, industry partners and patient groups to drive real-world impact
Qualifications
* 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
About Barts Life Sciences and Our Network
As part of Barts Life Sciences, you’ll have 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.
Barts Health is one of the largest NHS trusts in the country and a leading provider of healthcare. The Barts Health group is focused on improving services for patients while maintaining a world-class clinical reputation, high standards of patient safety, and a supportive working environment guided by the WeCare values.
We strive to live by our WeCare values, promoting inclusion and ensuring every staff member has a sense of belonging. We value differences and advocate for 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.
This advert closes on Sunday 9 Nov 2025
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