Job summary
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.
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'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.
Job description
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.
Job description
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
Essential
- Good (1st or Upper 2nd class) Honours degree in a relevant subject
- Relevant MSc or equivalent
Desirable
- Completion of Scientist Training Programme in a relevant discipline, or equivalent
Previous Experience
Essential
- 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
Desirable
- Previous research experience
Skills
Essential
- 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
Desirable
- Some knowledge of high- level languages used in data science, such as Python
Additional Information
Essential
- 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
Person Specification
Qualifications
Essential
- Good (1st or Upper 2nd class) Honours degree in a relevant subject
- Relevant MSc or equivalent
Desirable
- Completion of Scientist Training Programme in a relevant discipline, or equivalent
Previous Experience
Essential
- 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
Desirable
- Previous research experience
Skills
Essential
- 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
Desirable
- Some knowledge of high- level languages used in data science, such as Python
Additional Information
Essential
- 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.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
Additional information
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.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
