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Clinical Fellow Digital Health/Artificial Intelligence Critical Care
NHS Medical & Dental: Specialty Trainee (ST6-8)
Main area Critical Care Grade NHS Medical & Dental: Specialty Trainee (ST6-8) Contract 12 months (Fixed term) Hours Full time - 40 hours per week Job ref 321-CSS-MS-7070143-S6
Site John Radcliffe Hospital Town Oxford Salary £70,425 per annum Salary period Yearly Closing 30/04/2025 23:59
The Oxford University Hospitals NHS 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.
Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community. We call this Delivering Compassionate Excellence and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. These values put patients at the heart of what we do and underpin the quality healthcare we would like for ourselves or a member of our family.
Applications are invited for the Oxford Digital Health and Artificial Intelligence (AI) in Critical Care fellowship, which offers a unique opportunity to integrate digital health technologies and AI in critical care medicine while building advanced clinical competencies in critical care either as a standalone fellowship or out of program experience (OOPE).
Main duties of the job
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.
Working for our organisation
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.
Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community.
Detailed job description and main responsibilities
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 and submit publications in relevant scientific journals.
Clinical Duties
Alongside digital health projects, the appointee will deliver clinical duties at the senior level in the corresponding 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 the practice.
Candidates from any Intensive Care Medicine related speciality are encouraged to apply. Applicants must demonstrate strong airway management and resuscitation skills.
Person specification
Professional Registration
* GMC registration with licence to practise or eligibility for sponsorship
Qualifications
* FRCA, MRCP, FFICM or equivalent
* Higher research degree
Experience
* 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
* 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)
Skills and Knowledge
* Excellent leadership, organisational, communication, and professional skills to effectively undertake the role of senior clinical Fellow in a busy teaching hospital ICU.
* Experience of teaching undergraduates and trainees
* Knowledge of the organisation of the NHS
* Research experience and outputs
COVID-19: The COVID-19 vaccination remains the best way to protect yourself, your family, your colleagues and of course our patients from the virus when working in our healthcare settings. While COVID-19 vaccination is not a condition of employment at this time, we do encourage our staff to get vaccinated.
No unsolicited recruitment agency telephone calls or emails.
Please make sure that you read the job description and person specification attached below, and that your statement in support reflects this as your application will be judged against these criteria.
All candidates will be contacted with an update on the application. The majority of correspondence will be via the e-recruitment system, therefore you should check your emails regularly including junk mail folders in web-based email products.
Employer certification / accreditation badges
You must have appropriate UK professional registration.
This post is subject to the Rehabilitation of Offenders Act 1974 (Exceptions) Order 1975 (Amendment) (England and Wales) Order 2020 and it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service.
Name Raja Jayaram Job title Consultant Email address raja.jayaram@ouh.nhs.uk Additional information
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