Clinical Oncology AI Advisory Committee Member
Why this role exists
The RCR has an influential role in how AI is understood, regulated and used in healthcare. To support the RCR’s approach with respect to Clinical Oncology-related AI, we are looking to appoint an additional member or members to the CO AI Advisory committee, to help shape our thinking, support our strategic priorities, and be integral to our work in this area.
Full information about the role can be found in the candidate pack.
Time Commitment:
Appointed members serve for a period of up to three years.
Appointed members are expected to attend the three meetings of the CO AIAC held each year (one in person and two by video/teleconference) and contribute to offline discussions as appropriate.
Key responsibilities and requirements
The principal duties of an appointed member of the CO AI Advisory Committee will be to advise on:
Scope - those areas of work in AI relevant to Clinical Oncology that the RCR should undertake and those it should only advise on
Implementation - how best to deliver AI work that the RCR undertakes itself
Funding - how to ensure this work can be as self-funding as possible
Collaboration – identification of those external organisations, people, initiatives, funding, AI technology advances and opportunities relevant to Clinical Oncology with which the RCR should collaborate
Policy – areas of AI in Clinical Oncology on which the RCR should develop a policy position
Influencing - how best to influence the national AI agenda in Clinical Oncology to ensure the views of the RCR are heard
Any other areas at the request of the CO Faculty Leadership Team
How to apply
If you are interested in applying, please email [email protected] with a short CV and a brief statement (no more than 300 words) describing your interest in the role, and your experience and expertise in the field of AI in Clinical Oncology.
Applications will be considered by a panel consisting of the Vice-President CO, CO AI Lead Advisor and the RCR AI Manager. If needed, 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: 31 May 2026 at 23:59
Potential interview date if needed: 25 June 2026