AI & Medical Education Specialist

This competition is open to all applicants; however, internal applicants will be given priority consideration based on minimum qualifications, or a combination of experience, skills, and abilities before external applicants are considered.
This position has an initial appointment of 2 years, with the possibility of renewal.
Location - This role is in-person. Work primarily takes place at North Campus Edmonton.
The AI & Medical Education Coordinator leads the strategic integration of artificial intelligence within the MD Program. This position acts as a change agent and internal advisor, leading initiatives that will establish institutional priorities, foster cross-disciplinary collaboration, and develop key AI literacy skills for faculty, staff, and students. As such, the Coordinator is responsible for advising on the development of AI literacy into the curriculum and assessment and formulating policies for ethical AI use among faculty, students, and staff. Additionally, the role designs and delivers faculty development programs to build AI literacy, while establishing a framework for continuous quality improvement and scholarship to ensure the MD Program remains agile and innovative.

Minimum
A minimum of a Master’s degree in Education (e.g., Health Professions Education, Instructional Design, Curriculum & Instruction) or a related field (e.g., Health Informatics, Biomedical Sciences) is required.
Demonstrated experience with AI literacy, AI pedagogical integration, or AI-enhanced teaching strategies in higher education is required. (Note: This role focuses on the educational, literate, ethical, and practical applications of AI rather than technical coding or computer science skills.)
Written and verbal communication skills, including report writing, are required
High level of organization, time management skills, and attention to detail are required
Ability to work independently is required

Preferred
Ph.D. or Ed.D. with advanced training in medical education, digital humanities, educational development, curriculum design, educational technology, or digital health frameworks.
Administrative experience in a K-12 or post-secondary environment supporting teachers, program delivery, and/or teaching and learning is an asset.
Academic administrative or leadership: 3-5 years of experience working in a post-secondary environment with a focus on curriculum design, digital health frameworks, digital humanities, or other related fields is an asset. Medical education experience is preferred.
Experience in a medical education context is an asset.

Application Instructions
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This position offers a comprehensive benefits package with an annual salary range of $83,195.00-$114,418.00.
The terms and conditions of this appointment are governed by Schedule E of the Collective Agreement between the Board of Governors of the University of Alberta and the Association of the Academic Staff of the University of Alberta.

1. Leadership, Strategy & Collaboration
Serve as a change agent who facilitates evidence-based dialogue and consideration of the potential for AI in medical education that leads to culture change within the MD Program.
Provides leadership for the AI in Medical Education Working Group, driving institutional consensus, setting strategic priorities, and establishing milestones for AI integration.
Serves as an internal consultant and strategic advisor to MD Program leadership, course directors, and faculty members on AI trends and tools.
Fosters a collaborative ecosystem across the Faculty and College, bringing together students, staff, faculty, clinicians, and data scientists to co-create AI initiatives.
Represents the MD Program at institutional and national levels regarding the evolution of AI in medical training.

2. Curriculum & Assessment Integration
Advises on the development of critical AI literacy skills for medical students and the integration of these skills into the curriculum (e.g., teaching students how to identify hallucinations and errors, use clinical AI tools ethically, spot AI bias, and understand machine learning basics).
Identifies and implements AI-driven assessment tools (e.g., AI-assisted grading, predictive analytics for student performance, or natural language processing for feedback).
Formulates policies and guidelines on the acceptable use of generative AI by students and faculty in coursework and examinations.

3. Faculty Development & Training
In collaboration with the teacher support team and FoMD Faculty Development, designs and delivers professional development programs, workshops, and resources to build a culture of critical AI literacy among clinical and academic faculty members who teach in the MD Program. This includes facilitating discussions on systemic risks (e.g. algorithmic bias), as well as maintaining professional identity and patient safety in light of the potential and limitations of AI.
Upskill course leads on how to leverage AI for curriculum design, case generation, and administrative efficiency.
Creates mentorship opportunities for faculty interested in pioneering AI educational tools.

4. Evaluation, Scholarship & Quality Improvement
Monitors and evaluates the effectiveness of AI implementations within the curriculum, ensuring they align with accreditation standards.
Leads scholarly activity, encouraging and collaborating on peer-reviewed research, grants, and presentations related to AI in medical education.
Establishes a continuous quality improvement (CQI) framework to keep the MD Program agile as AI technology rapidly evolves.