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Job id: 114905. Salary: £44,355 - £51,735 per annum including London Weighting Allowance.

Posted: 12 May 2025. Closing date: 26 May 2025.

Business unit: Faculty of Life Sciences & Medicine. Department: London Inst. for Healthcare Engineering.

Contact details: Jawad Chaudhry. j.chaudhry@nhs.net

Location: St Thomas' Campus. Category: Professional & Support Services.

About Us

The London Artificial Intelligence Centre for Value-Based Healthcare is a consortium of academic, NHS and industry partners led by King’s College London and Guy’s & St Thomas’ NHS Trust in partnership with 11 NHS Trusts and 4 universities.

We aim to increase efficiency and improve patients’ outcomes through advanced diagnostics and identification of personalized treatments.

We are exploring how AI can be used to optimize triage and target resources to deliver significant improvements for the NHS and healthcare systems overall.

We are a highly collaborative, cross-institution Centre of Excellence which pools expertise in AI, healthcare and data from leaders in industry, research and clinical practice around the world. Drawing on this, the Centre will develop new diagnostic and treatment solutions across targeted disease pathways.

Our current clinical AI pathways include stroke, liver, cardio-vascular, mental health, and these typically include multidisciplinary approach with clinical lead, academic data scientists & AI technology partner working together to address key healthcare challenges.

In order to develop and deploy the AI tools needed to innovate within the NHS, appropriate technologies and robust infrastructure are required. The Centre has developed AI technology platforms to support this vision. This will enable access to huge volumes of well-curated clinical data in a controlled environment, with appropriate technical architecture, governance and clinical expertise that will allow NHS Trusts to test and deploy AI in clinical practice.

About The Role

The post holder will system administrate the secure environment including maintaining the hardware and its connectivity to the various components. They will also lead with the deployment of DICOM-based solutions for research imaging repository within the Trust for AI development and deployment. This will compose (but not exclusively) include the XNAT system, an AI deployment engine (AIDE) as well as subsidiary deployments systems like the RAPID stroke clinical system. The individual will work closely with the London Medical Imaging AI Centre for Vale-Based Healthcare (AI4VBH) based at School of Biomedical Engineering & Imaging Sciences at Kings College London.

The post holder will ensure information governance, information security, clinical stakeholders and ICT departmental leads are engaged and consulted and appropriate sign off is achieved.

The post holder will lead on the development and configuration of XNAT and other clinical systems required for the implementation of the AI Centre Programme. They will provide clear documentation of all configuration changes and submit change requests to Change board as appropriate.

The post holder will create and maintain robust implementation plans and allocate implementation activities to internal and external teams. They will continually monitor the progress of activities and provide accurate implementation timescales.

The post holder will provide detailed system support documents to enable the handover of implemented systems to the Clinical Systems Support Team. This is a full time post (37.5 Hours per week), and you will be offered an a fixed term contract until 30/09/2026

About You

To be successful in this role, we are looking for candidates to have the following skills and experience: 

Essential criteria

  1. Substantial experience in a complex, large organisation within health care and preferably an NHS Acute Trust setting 
  2. Experience with DICOM-based software systems for managing PACS repositories 
  3. Experience with system administering LINUX-based server systems 
  4. Experience with scripting of GPU’s for handling advanced deep learning 
  5. In depth specialist knowledge of Healthcare Information Technology procedures and expertise in Healthcare IT System Management. 
  6. Experience of handling and Managing a major clinical system 
  7. Stakeholder engagement as a consultant to engage with clinical and managerial staff at a high level both within the organisation and other designated healthcare providers. Ability to accurately produce written documents, project plans relating to projects being implemented, training, policies and procedures and data quality. 

Desirable criteria

  1. Knowledge of National Health Policy in particular the NHS Plan, National Programme for IT and delivering 21st Century Care and involvement in the production of local and sector wide strategies. 
  2. Experience of performance Change and Project Management using Prince Methodology. 
  3. Ability to provide and present information ranging from simple to highly complex to an audience of any size that will contain listeners of differing levels of understanding and trust seniority. 
  4. Ability to analyse and form opinion on solutions ranging from simple to highly complex when presented by several different options. 

Downloading a copy of our Job Description 

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. 

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. 

If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.