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Senior Data Engineer

Barts Health NHS Trust

London

On-site

GBP 50,000 - 80,000

Full time

8 days ago

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Job summary

Barts Health NHS Trust is seeking a Senior Data Engineer to lead AI and machine learning projects aimed at enhancing cancer detection and treatment. The role involves collaboration with clinical teams and the development of innovative healthcare solutions, supported by a significant funding grant.

Qualifications

  • Experience creating analysis pipelines, APIs, software, and dashboards.
  • Ability to translate ideas from non-experts into practical techniques.

Responsibilities

  • Lead the development of AI-driven healthcare solutions.
  • Work with data, clinical teams, and research groups.

Skills

Managing technical and clinical staff
Flexible approach

Education

PhD or equivalent in a relevant field

Job description

Barts Health is one of the largest NHS trusts in the country and a leading healthcare provider in Britain.

The Barts Health group is on an improvement journey to become an outstanding organization with a world-class clinical reputation. Having moved out of special measures, we are now focused on continuously improving our services for patients.

Our vision is to be a high-performing group of NHS hospitals, renowned for excellence and innovation, providing safe and compassionate care in east London and beyond. We aim for excellent patient safety, harm-free care, and being an outstanding place to work, guided by our WeCare values.

Barts Health supports the Pregnancy Loss Pledge and is committed to supporting staff through distress caused by miscarriage.

Job overview

An exciting opportunity for a talented Senior Data Engineer to lead projects using AI and machine learning in healthcare, specifically to enhance cancer detection, diagnosis, and treatment as part of PharosAI at Barts Health. The role involves working with a growing team focused on healthcare data applications to deliver innovative products and services.

The project has secured £4.3m from the Department for Science, Innovation and Technology to develop AI models informed by data from the Barts Health Data Platform and tissue bank, benefiting patients in North East London and beyond.

Fixed Term Contract until 31/03/2028

Interview date: 2nd July 2025

Main duties of the job

As part of Barts Life Sciences, the postholder will lead the development of AI-driven healthcare solutions, working with data, clinical teams, research groups, and community partners to achieve health, economic, and social benefits for east London and beyond.

Working for our organization

Barts Health is committed to being an outstanding employer, promoting inclusion, and fostering an inclusive working environment. We value diversity and support flexible working arrangements.

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

Detailed job description and responsibilities

The full job description and person specification are available in the attached documents. To discuss this opportunity further, contact Dr. Sophie Williams, Lead Data Scientist, at sophielouise.williams@nhs.net.

Person specification

Experience

  • A PhD or equivalent in a relevant field related to data engineering
  • Experience creating analysis pipelines, APIs, software, and dashboards based on user requirements
  • Ability to translate ideas from non-experts into practical techniques

Skills

  • Managing technical and clinical staff in line management or project roles
  • Flexible and cooperative approach

Knowledge

  • Knowledge of management, information governance, and medical device regulations

Qualifications

  • A PhD or equivalent in a relevant field

We are committed to promoting inclusion and supporting applications from underrepresented groups. We support the Guaranteed Interview Scheme and are an Equal Opportunities Employer.

Note: The contract duration may be slightly shorter than 32 months due to hiring process timelines. The position involves safeguarding and child protection considerations, including potential Disclosure and Barring Checks.

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