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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.
For further details / informal visits contact: Name: Mike Woodward Job title: Senior Clinical Scientist in AI Email address: [email protected]
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