Senior Critical Care Clinical Fellow - Digital Health and AI

Aims This fellowship is designed for senior trainees in adult Intensive care medicine (ICM) who wish to develop expertise in integrating digital health solutions and AI in clinical practice as applied to critical care. The program focuses on building skills in data analysis, AI‑enhanced diagnostics, and user‑centred design to drive digital transformation in critical care. Fellows will also acquire advanced stage 3 competencies in ICM by being part of senior rota and delivering clinical duties in a tertiary care ICU while driving and contributing to digital projects to modernise and enhance patient care and staff experience.

Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals – the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury.

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The fellowship will take place over twelve months, combining clinical responsibilities with dedicated time (one day per week) to focus on digital health and AI initiatives. Possible areas of development include: Digital Transformation in Healthcare – leading and contributing to projects that apply digital technologies to transform workflows, optimise patient care processes, and improve clinical outcomes in the critical care setting. Usability and User Experience (UX) – developing expertise in the design, evaluation and implementation of digital health tools, ensuring they are user‑friendly and align with the needs of both clinicians and patients in the real‑world critical care environment. Data Analytics in Critical Care – training in handling and analysing large datasets from electronic health records (EHR) and bedside monitoring devices to support evidence‑based decision‑making. Machine learning and AI in the diagnosis and management of respiratory failure. Fellows will participate in clinical research projects involving AI‑driven diagnostic and treatment algorithms in respiratory critical care. Fellows will receive close supervision from senior mentors throughout the fellowship. They are expected to present their work within the department and at conferences, demonstrating learning, respect, delivery, excellence, compassion and improvement and submit publications in relevant scientific journals. Whilst not a defined expectation, participation in the digital critical care datathon organised by the ESICM data science section and Amsterdam UMC is strongly encouraged during the fellowship tenure.

Alongside digital health projects, the appointee will deliver clinical duties at the senior level in the on‑call rota both in the Oxford Critical Care and Churchill ICU of Oxford University Hospitals NHS Trust. Fellows will develop advanced clinical knowledge and skills in ICM while integrating digital solutions into practice. Candidates from any Intensive Care Medicine related speciality are encouraged to apply. Applicants must demonstrate strong airway management and resuscitation skills.

Fellows will be actively supported in applying for external fellowships, such as the Topol Fellowship, which focuses on leadership in digital health. Previous fellows from this department have successfully obtained such fellowships, and support will include guidance on applications and mentorship throughout the process. Support for application to higher educational courses can be considered with prior discussion.

The fellowship will be overseen by consultants Dr David Clarke, lead for digital health at Oxford Critical Care, Dr Raja Jayaram, fellowship co‑lead and program director for Oxford Critical Care fellowships, and experts in digital health and AI. Regular progress evaluations, including project reports, peer feedback and competency assessments, will be conducted, with a mandatory six‑month successful review to proceed with further advancement in the program.

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• GMC registration with licence to practise or eligibility for sponsorship
  

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• Qualifications
  

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• Intermediate to advanced competencies in Intensive Care medicine
  
• Evidence of ability to manage critically ill patients with distant supervision
  
• Minimum two years' experience in Intensive Care
  

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• At least 12 months experience in anaesthetics and airway management skills/capabilities in management of critically ill patients
  
• Experience with digital transformation (evidence of at least one successful implementation)
  
• Some experience with programming, data analysis and database manipulation (SQL/ R /Python)
  

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• Excellent leadership, organisational, communication, and professional skills to effectively undertake the role of senior clinical Fellow in a busy teaching hospital ICU
  
• Good written English
  
• Experience of teaching undergraduates and trainees
  
• Knowledge of the organisation of the NHS
  

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• Research experience and outputs