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    Senior Clinical Scientist in Artificial Intelligence - London, United Kingdom - Guy's and St Thomas' NHS Foundation Trust

    Guy's and St Thomas' NHS Foundation Trust
    Guy's and St Thomas' NHS Foundation Trust London, United Kingdom

    2 weeks ago

    Default job background
    Permanent
    Description

    Job summary

    Applications are invited for a Band 8A Senior 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 support the team in evaluating, developing and implementing digital solutions to facilitate quicker and higher quality access to healthcare for patients, with a strong emphasis on AI.

    Main duties of the job

    The postholder will support the team in investigating, evaluating, developing and implementing a host of AI solutions to support patient care at the Trust. 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 AI developers 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.

    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 Senior Clinical Scientist in Artificial Intelligence you will be responsible for project delivery from inception to post-deployment surveillance.

    You will manage stakeholders, including effectively communicating and regularly engaging 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, Bioinformatics 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
  • Relevant PhD

    • Professional / Statutory Registration

    Desirable

  • State registration as a Clinical Scientist (gained or achievable within an acceptable timeframe)

    • Experience

    Essential

  • Highly developed specialist 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 with a wide range of clinical scientific computing systems and software

    • Desirable

  • Previous research experience
  • Previous experience of working in a clinical setting ( NHS)

    • Skills

    Essential

  • Advanced knowledge of problems arising from system errors, equipment failure and clinical factors.
  • Advanced specialist knowledge of techniques and clinical applications.
  • Extensive experience of software engineering and the software development life-cycle, including issue tracking, testing, documentation, version control and continuous integration.
  • Able to prioritise and manage own work.
  • Able to exercise own initiative when dealing with issues within own specialist area of competence and within broader areas of clinical scientific computing.
  • In depth understanding of relevant legislation, national standards, professional and other guidelines.
  • Able to work and communicate effectively within a team.
  • Able to troubleshoot errors and independently find solutions to problems.

    • Desirable

  • In-depth knowledge of at least one high-level language used in data science, such as Python.
  • Familiarity with containerisation technologies , Docker, Kubernetes, etc.
  • Familiarity with server management.
  • Understanding of distributed software applications.
  • Up to date with new approaches in software development.
  • Demonstrable experience with SQL , PostgreSQL or other modern SQL platforms.
  • Experience with HL7 messaging or other healthcare enterprise integration standards.
  • Knowledge of and commitment to software development best practice.

    • Physical Requirements

    Essential

  • Able to concentrate frequently when subject to unpredictable working patterns.
  • Able to concentrate for prolonged periods [eg debugging software].
  • Able to deal with occasional distressing circumstances [work occasionally involves contact with patients].

    • Additional Information

    Essential

  • Able to effectively communicate highly complex information to a variety of stakeholders.
  • Able to present scientific papers at national and international conferences.
  • Able to develop and deliver teaching and training on complex subjects.
  • Able to deal with complex and unpredictable situations.
  • Able to work without direct supervision and instruction.
  • Able to work remotely.

    • Desirable

  • Experience of organising and delivering teaching and training to a multidisciplinary audience.
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