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    Senior / Project Scientist - 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

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    Description
    Senior Clinical Scientist in Artificial Intelligence

    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.

    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.

    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.

    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.

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

    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 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.
    Completion of Scientist Training Programme in a relevant discipline, or equivalent
    Relevant PhD

    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

    Previous research experience
    Previous experience of working in a clinical setting (e.g.

    Extensive experience of software engineering and the software development life-cycle, including issue tracking, testing, documentation, version control and continuous integration.

    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 knowledge of at least one high-level language used in data science, such as Python.
    Familiarity with server management.
    Understanding of distributed software applications.
    Up to date with new approaches in software development.
    Demonstrable experience with SQL e.g., PostgreSQL or other modern SQL platforms.
    Knowledge of and commitment to software development best practice.

    Able to concentrate for prolonged periods [eg debugging software].
    Able to deal with occasional distressing circumstances [work occasionally involves contact with patients].

    Able to present scientific papers at national and international conferences.
    Able to develop and deliver teaching and training on complex subjects.
    Able to work remotely.

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

    Guy's and St Thomas' NHS Foundation Trust
    St Thomas' Hospital
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