CO Artificial Intelligence (AI) Lead Adviser

The RCR is playing an increasingly central role in AI. In order to help the RCR’s approach to how it should proceed in Clinical Oncology-related AI, we are looking to appoint a Clinical Oncology (CO) AI Lead Adviser, to help shape our thinking, bring contacts and expertise, and be integral to our work in this area. 

The work may involve liaison with the NHS, Department of Health and Social Care, National Institute for Health and Care Excellence, and other key organisations and individuals.

The CO AI Lead Adviser will be a Fellow of the College who is resident in the United Kingdom at the time of their application and for the duration of term, is in active clinical practice, and holds a current licence to practice.  

Naturally, many of those active in AI may have developed commercial links in the field and it would be important that these were declared during the appointment process and steps taken to manage any perceived or actual conflicts of interest associated with the person appointed. 

The term of office for the CO AI Lead Adviser is two years plus four months. The post-holder may be re-appointed for a further period of up to one year if appropriate and by mutual agreement of the post-holder, the co-Chair and the Faculty Leadership Team. The term for this role would start on 1st May 2026 after the term for the current CO AI Lead Adviser completes and will finish at the end of 31st August 2028. 

To fulfil this role, the individual must be able to demonstrate: 

• in-depth knowledge of, and personal networks in, artificial intelligence  
• experience in implementing oncology artificial intelligence projects  
• excellent interpersonal and communication skills, including chairing meetings, the capacity to support and influence others 
• a national reputation and standing in AI for clinical oncology. 

The principal duties of the CO AI Lead Advisor will be: 

• providing expert advice to the President, CO Faculty and College regarding AI 
• assist in the AI work of the College and supporting ongoing initiatives.  Examples could include (but are not limited to) assisting in authoring College guidance, disseminating good practice, and speaking at events 
• helping to select and facilitate future CO Faculty AI initiatives 
• assessing external research, documents and developments in AI on behalf of the CO Faculty, bringing to the College’s attention any of interest, including funding opportunities. 
• constructively collaborating with CO AI Advisory Committee members and potentially other RCR groups where there is common interest. 
• representing the RCR at invited external meetings/events and feeding back relevant information to the College. 
• Co-Chairing meetings of the CO AI Advisory Committee 
• Reporting on the work of the CO AI Advisory Committee to the CO Faculty Leadership Team. 

The role of the CO AI Lead Adviser may mean interfacing with commercial suppliers. To that end, the guidance contained in the College’s Conflicts of Interest policy and the procedures for managing actual or perceived conflicts of interest should be followed. This will mean making advance declarations of interest to ensure they are given proper consideration.   

The CO AI Lead Adviser will not express any opinion or make any statement publicly or to the media that is held out to be a view from the College without first consulting and agreeing the approach with the President. 

This is a voluntary role. The RCR will meet the travel expenses incurred by the CO AI Lead Adviser in travelling to the RCR and other agreed events, in accordance with the College travel and expenses policy.  

The CO AI Lead Adviser will from time-to-time be provided with documents at various stages of development prior to their formal approval and publication, which are to be kept confidential. The CO AI Lead Adviser shall not disclose any confidential information to an outside person or organisation. 

The CO AI Lead Adviser shall comply with the provisions of the General Data Protection Regulation and the RCR’s policies and procedures for data protection as regards processing and disclosure of any personal data that are made available to them as part of their work for the RCR.

The RCR will hold the intellectual property and copyright of any documents or publications produced by the individual in their capacity as the Faculty’s CO AI Lead Adviser. The CO AI Lead Adviser will be deemed to have assigned these rights to the RCR for all works produced during their tenure. 

If you are interested in applying, please email [email protected] a short CV and a brief statement (no more than 300 words) describing your interest in the role, any previous leadership experience, and your experience/expertise in the field of AI in Clinical Oncology.

The College is committed to a policy of valuing equality and diversity across its activities. To that end, applicants are invited to complete and return the attached anonymous diversity monitoring form. 

Applications will be considered by a panel consisting of the President, Vice-President CO, CEO and the RCR AI Manager. To aid in the selection process, candidates may be asked to meet with the selection panel after the initial shortlisting process. 

Closing date for receipt of applications: 11:59PM on 31 January 2026. 

Tentative interview date: 12 February 2026