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Clinical Radiology AI Courses Portfolio Lead

Role description
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Role overview

The Clinical Radiology Artificial Intelligence (AI) Courses Portfolio Lead is a voluntary leadership role at the Royal College of Radiologists (RCR), working in partnership with the RCR Learning Team. Sitting on the Clinical Radiology Learning Leadership Group (CR LLG) alongside several other portfolio leads, the post holder will report to the CR LLG Chair, who in turn reports to the Vice Presidents as part of the RCR’s Strategic Board.

The post holder will oversee a team and ensure that the RCR’s portfolio of CR AI-related courses is high quality, evidence-based, and responsive to the evolving needs of the radiology community. They will work collaboratively with the RCR Learning team and Course Leads to define and implement the portfolio strategy, periodically review its scope and direction, and ensure continuous improvement through feedback, innovation, and shared best practice. The role is central to the RCR’s mission to equip radiologists with the knowledge and skills to safely and effectively use AI technologies in clinical practice.

The post holder will manage the Course Leads responsible for the College’s AI courses, ensuring the portfolio remains cohesive, forward-looking, and aligned with the RCR’s strategic priorities. They will also work closely with counterparts on the Clinical Oncology Learning Leadership Group (CO LLG) to support the development of joint faculty learning opportunities, promoting interdisciplinary collaboration in the application of AI across imaging and oncology.

a) Portfolio - AI Courses

The portfolio currently includes the following products, with the potential for additional courses to be developed via the RCR Learning new product development process

  1. CRAI Course 1 - Understanding data science and bias
  2. CRAI Course 2 - Implementation and practice
  3. CRAI Course 3 – title to be confirmed

b) Key Responsibilities

  1. Be the clinical lead (and Subject Matter Expert) for the Clinical Radiology Artificial Intelligence Courses Portfolio in alignment with RCR’s strategic objectives and professional standards
  2. Collaborate with the RCR Learning team to undertake strategic planning for the course portfolio, aligned to RCR Learning’s objectives
  3. Collaborate with the RCR Learning team to identify and enact opportunities to refresh and improve AI courses, including via course review processes
  4. Oversee the portfolio and assure course quality, clinical relevance and alignment with curriculum standards and professional frameworks for courses within the portfolio
  5. Review course delivery (event) evaluations to identify opportunities for continuous improvement and for sharing best practice
  6. Attend one of each course per year to see delivery first-hand
  7. Support meta-reviews of product evaluations within their portfolio
  8. Lead and support a team of Course Leads (voluntary contributors), facilitating the sharing of best practice and ensuring all courses are delivered to the RCR’s quality standards
  9. Supports the RCR team to recruit course leads
  10. Contribute to broader RCR learning and development initiatives, sharing expertise and ensuring consistency across clinical disciplines
  11. Collaborate with the RCR Learning team, course leads, and subject matter experts
  12. Attend relevant meetings, such as our Clinical Radiology Learning Leadership Group and portfolio strategy days
  13. Uphold RCR values and code of conduct in all activities
  14. Undertake other duties relevant to the scope of the role in line with faculty and RCR strategic priorities

c) Time Commitment

  1. Voluntary, three-year term (extendable by invitation)
  2. Minimum of 8 days per year, [including attending courses to observe, planning, and evaluation.
  3. Meetings planned for at least one year in advance.

d) Eligibility Criteria

Fellow of the College by examination (no minimum period as a Fellow is required), resident in the United Kingdom, hold a current license to practice with the General Medical Council (GMC) and be in active clinical practice

e) Experience & Skills

  1. Excellent understanding of the UK (and, desirably, global) Clinical Radiology landscape, including the emerging role of artificial intelligence (AI) and digital technologies, as well as the challenges and opportunities they present for clinical radiologists
  2. Knowledge of AI applications, governance, and integration within UK healthcare systems, including awareness of national and international developments in imaging informatics and digital transformation
  3. Demonstrated ability to work collaboratively with clinicians, educators, data scientists, and industry or academic partners, building strong and effective cross-disciplinary relationships
  4. Excellent communication, leadership, and influencing skills, with experience guiding multidisciplinary teams and subject matter experts to deliver innovative and high-quality learning products
  5. Sound understanding of clinical education frameworks, accreditation processes, and digital learning methodologies relevant to postgraduate medical education and technology-enhanced learning

f) Benefits

  1. Opportunities to work with other professionals/clinicians and experts developing learning products for the benefit of our members
  2. CPD credits for development of learning activities and contributions
  3. Use of the title ‘Clinical Radiology Artificial Intelligence (AI) Courses Portfolio Lead’
  4. Financial assistance for travel and subsistence is available

g) Support Provided

  1. Support by the CR LLG Chair
  2. Supported by the RCR Learning team
  3. RCR Learning staff will manage the product management, marketing, pricing, event logistics, sponsorship, and non-clinical aspects
  4. Dedicated staff point of contact within the team
  5. Joint leadership with other Faculty Leads as appropriate

h) Professional Conduct & Confidentiality

  1. Adherence to RCR values and Contributor Code of Conduct
  2. Maintenance of confidentiality and integrity, including compliance with the Data Protection Act 2018 and GDPR 2016
  3. Assignment of intellectual property rights for course materials to the RCR
  4. Representation of RCR only with prior agreement to ensure communications reflect the organisation’s official stance

i) RCR Values

As a portfolio lead, you are expected to embody and promote the RCR’s core values in all aspects of your work. These values underpin the College’s culture and guide our approach to education, collaboration, and professional conduct.

The RCR values are:

  • Leadership: Inspiring and supporting others to achieve excellence
  • Learning: Fostering a culture of continuous improvement and professional development
  • Collaboration: Working together with respect, openness, and integrity
  • Innovation: Embracing new ideas and approaches to advance our specialties
  • Inclusivity: Valuing diversity and ensuring equitable opportunities for all
Find out more about our values

j) Induction & Onboarding

Portfolio leads will receive induction and ongoing support from the RCR Learning team, including access to resources and training as needed.

k) Feedback & Evaluation

Performance and course quality will be reviewed through delegate feedback, observations, peer review, and post-course evaluation meetings.

l) Succession Planning

Handover to a new portfolio lead will be managed collaboratively to ensure continuity and knowledge transfer.

How to apply

Closing date

Monday 8 December 2025

Interview dates

12th December (For Clinical Oncology Roles)

19th December (For Clinical Radiology Roles)