At a Glance
- Tasks: Join a dynamic team to develop AI solutions that improve patient care in the NHS.
- Company: Guy's and St Thomas' NHS Foundation Trust, a leader in healthcare innovation.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by translating research into clinical practice.
- Qualifications: Degree in a relevant field and experience in software engineering and clinical computing.
- Other info: Collaborative environment with regular workshops and social events.
The predicted salary is between 48700 - 55000 Β£ per year.
Go back Guy\βs and St Thomas\β NHS Foundation Trust
Clinical Scientist in Artificial Intelligence
The closing date is 03 November 2025
Applications are invited for a Band 7 Clinical Scientist in Artificial Intelligence (AI) post at Guy\βs and St Thomas\β 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\βs 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.
Main duties of the job
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.
About us
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\βre 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.
Job 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.
Person Specification
Qualifications
- Good (1st or Upper 2nd class) Honours degree in a relevant subject
- Relevant MSc or equivalent
- Completion of Scientist Training Programme in a relevant discipline, or equivalent
Previous Experience
- Basic knowledge across the full range of working procedures and practices in Clinical Scientific Computing, building on theoretical knowledge and practical experience.
- Specialist training and practical experience in Clinical Scientific Computing
- Previous research experience
Skills
- Experience of software engineering and the software development lifecycle including issue tracking, testing, documentation, version control and continuous integration.
- Broad understanding of patient procedures and of problems arising from system errors, equipment failure and clinical factors
- Broad knowledge of techniques and clinical applications
- Able to prioritise and manage own work
- Able to exercise own initiative when dealing with issues within own specialist area of competence
- Working knowledge of relevant legislation, national standards, professional and other guidelines
- Some knowledge of high- level languages used in data science, such as Python
Additional Information
- Able to communicate highly complex information
- Able to present scientific papers at national and international conferences
- Able to deliver teaching and training on complex subjects
- Able to deal with complex and unpredictable situations
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Guy\βs and St Thomas\β NHS Foundation Trust
Β£56,276 to Β£63,176 a year per annum inc. H.C.A
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Clinical Scientist in Artificial Intelligence employer: Guy's and St Thomas' NHS Foundation Trust
Contact Detail:
Guy's and St Thomas' NHS Foundation Trust Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Clinical Scientist in Artificial Intelligence
β¨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, workshops, or even local meetups related to AI and clinical science. Building relationships can open doors to opportunities that arenβt advertised.
β¨Show Off Your Skills
Donβt just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Python and AI. Share it during interviews or on platforms like GitHub to demonstrate your expertise.
β¨Prepare for the Interview
Research the team and the projects theyβre working on. Be ready to discuss how your skills align with their goals. Practise common interview questions and think about how you can contribute to improving patient care at GSTT.
β¨Apply Through Our Website
Make sure to apply directly through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows youβre genuinely interested in joining our dynamic team.
We think you need these skills to ace Clinical Scientist in Artificial Intelligence
Some tips for your application π«‘
Tailor Your Application: Make sure to customise your CV and cover letter for the Clinical Scientist in AI role. Highlight your relevant experience and skills, especially in software engineering and data handling, to show us youβre the perfect fit for our team.
Show Your Passion for AI: We want to see your enthusiasm for artificial intelligence and its application in healthcare. Share any projects or experiences that demonstrate your commitment to improving patient care through technology.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your qualifications and experiences, making it easy for us to see why youβd be a great addition to our team.
Apply Through Our Website: Donβt forget to submit your application through our official website! This ensures we receive all your details correctly and helps us keep track of your application efficiently.
How to prepare for a job interview at Guy's and St Thomas' NHS Foundation Trust
β¨Know Your Stuff
Make sure you brush up on your knowledge of AI, data engineering pipelines, and the software development lifecycle. Familiarise yourself with Python programming, GitHub, and CI/CD principles, as these will likely come up during the interview.
β¨Show Your Team Spirit
Since this role involves working closely with a multidisciplinary team, be prepared to discuss your experience in collaborative environments. Share examples of how you've effectively communicated with both clinical and non-clinical staff in past projects.
β¨Be Ready for Problem-Solving
Expect questions that assess your troubleshooting skills. Think of specific instances where you faced challenges in your work, how you approached them, and what the outcomes were. This will demonstrate your ability to persist and manage your time effectively.
β¨Understand the Bigger Picture
Familiarise yourself with the NHS's goals and how AI can improve patient care. Be ready to discuss how your work can contribute to these objectives and show your passion for translating research into clinical practice.