Applications are invited for a Band 7 Clinical Scientist in Artificial Intelligence (AI) post at Guy's and St Thomas' NHS Foundation Trust.
You will join the Clinical Scientific Computing (CSC) team which consists of clinical scientists, AI engineers, data scientists, radiologists, clinicians, and programme managers, with close links to King's College London and nearby NHS Trusts. You will be the dedicated support for a 12 month project that involves developing data engineering pipelines and effective communication with external stakeholders.
The postholder will have the opportunity to participate in every part of the software development lifecycle, work in multidisciplinary teams to design, develop and deliver digital solutions in the NHS. They will also be able to learn about different project management styles, attend international and national conferences, and help support a national educational programme in clinical AI.
This is an exciting opportunity for data engineers and clinical scientists to translate their research and ideas into clinical practice.
The majority of the work is done remotely and the postholder must be able to work effectively under these conditions. The team works from an office one day per week and holds fortnightly workshops which must be attended in person in London.
The CSC team at GSTT is a small team working together to improve access and quality of patient care at our Trust and throughout the NHS.
The team ethos is firmly grounded in a desire to improve the patient care provided by our NHS Trust and beyond. We're a highly dynamic team with a benevolent approach to proposed projects and ideas. While we do work remotely, we are a very unified team and meet often both socially and professionally, with regular post-work events and regular group lunches. There is an atmosphere of openness and collaboration.
We have a quality management system annually certified by the BSI to allow us to develop Software As a Medical Device, we have a machine learning operations created in-house which we use to train our models, and we have a deployment platform through which our AI applications are hosted and used. We have a DGX and associated server which we maintain within the team and use for machine learning purposes. We have a straightforward and robust way of accessing, analysing and cleaning data. With this combination of platforms we translate clinical research into clinical practice across many different departments.
Responsibilities
* As a Clinical Scientist in Artificial Intelligence you will be working closely with the team and senior staff members to support project delivery.
* You will effectively communicate and regularly engage with a variety of clinical and non‑clinical staff. You will work in the best interest of the patients and service users at GSTT.
* You will collect and curate data for AI development and testing and critically appraise their quality.
* You will effectively use Version Control tools (GitHub) and program in Python to a high standard including following CI/CD and TDD principles. You will help maintain two Linux servers including upgrading, installing, troubleshooting and managing user access. You will work with Docker and virtual environments.
* You will work as part of a team and receive and give constructive feedback. You will occasionally need to concentrate on a piece of work for many hours at a time and persist in troubleshooting when problems arise. You will work independently and be self‑motivated in managing your own time as productively as possible.
* You will work under several pieces of legislation and guidance pertaining to data handling and protection, medical devices maintenance and IT acceptance and deployment in the NHS. You will need to be able to both understand and explain those principles and raise alarm if risks are detected.
* You will help support the delivery of training programmes including the NHS Fellowship in Clinical AI and the Scientist Training Programme in Clinical Scientific Computing and Clinical Informatics. You will help support the development of junior and of temporary staff.
For further details please see the attached job description.
This advert closes on Monday 3 Nov 2025
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