| Job Description: |
The AI for Health Institute at the University of Florida seeks a Course Director and Lecturer to lead the AI Passport platform, a multi-audience, governance-literacy-oriented AI education platform, that includes the NIH-funded AI Passport for Biomedical Researchers (R25), the UF-funded AI Passport for Healthcare Workforce, and a growing family of audience-specific instantiations. The Course Director will hold primary operational responsibility for curriculum quality, learner experience, implementation fidelity, and scholarly documentation of the platform, working in close partnership with the Contact PI, MPIs, program manager, and instructional design team. The position is appointed at the rank of a lecturer and is non-tenure accruing. This position carries a clear pathway to progressive academic responsibility as the platform scales.
About AI Passport
AI Passport is built on the SPACER framework (See-Practice-Share-Reflect), an experiential learning paradigm grounded in Kolb's experiential learning theory and extended through the AIBHS design-studio tradition. The platform consists of a modular content backbone, a family of audience-specific passports, and a front-door role-typology assessment (Meridian). The Course Director is the single operational owner of how the platform is experienced by learners and of the scholarly record of that experience. This role exists because the platform has outgrown informal coordination and requires a named academic leader accountable for its integrity.
About this role:
- Curriculum stewardship: Own the integrity of the AI Passport content backbone across passport instantiations and ensure that SPACER-grounded pedagogy (See, Practice, Share, Reflect) is implemented with fidelity in every module. Coordinate module-faculty contributors and hold the line on experiential-learning standards.
- Learner experience and cohort operations: Oversee cohort lifecycle from recruitment through credentialing and partner with the Program Manager on enrollment, onboarding, gating, and learner support. Address learner-surfaced tensions (specialty alignment, feedback, navigation, workload) as ongoing curriculum-design problems, not one-time tickets.
- Implementation fidelity: Institute and maintain a fidelity-of-implementation check for each module — whether modules are being experienced as designed, where friction surfaces, and how the curriculum responds. Document findings as ongoing scholarly evidence.
- Assessment and credentialing: Own the measurement spine of the platform, which includes pre/post microskill assessments, module-level outcomes, governance-literacy credentialing criteria, and the integration of the Meridian front-door assessment into learner routing and personalization. Coordinate with the quantitative lead on cohort-level evaluation.
- Scholarly output: Serve as an author on the platform's publication family (flagship concept-plus-evidence paper; SPACER methods paper; Meridian instrument paper; governance-literacy viewpoint; implementation-science follow-on). Lead at least one manuscript from the paper family as first or senior author within the first 18 months.
- Team development: Supervise and develop instructional design, academic specialist, and coach/mentor staff. Build the talent pipeline that the platform requires at scale.
- Cross-audience coordination: Coordinate across passport instantiations (Healthcare Workforce, Biomedical Researchers, BioNexus, future passports) to ensure that the shared backbone stays shared, and that audience-specific adaptations are additive rather than divergent.
- External representation: Represent the platform in internal UF/UFHealth conversations, at partner institutions, at AIBHS design-studio events, and at national meetings as assigned by the Contact PI.
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| Preferred: |
The ideal candidate will possess:
- One to three years of progressive responsibility in health professions education, curriculum development, or implementation of structured learning programs at the postgraduate or continuing-education level.
- Demonstrated experience designing or leading experiential, case-based, or practice-based learning — familiarity with Kolb's experiential learning theory or equivalent frameworks is expected.
- Demonstrated scholarly productivity appropriate to the rank: peer-reviewed publications, curriculum evaluations, or instrument development.
- Familiarity with AI fundamentals in the health context — not technical expertise, but interpretive competence sufficient to lead faculty discussions on AI governance, accountability, and trust calibration.
- Demonstrated ability to coordinate across multiple stakeholders with divergent priorities and to keep complex programs aligned under ambiguity.
- Experience with competency-based or microskill-based curricular design.
- Experience working in or alongside a research education grant (NIH R25, K12, T32, or equivalent).
- Prior experience leading mixed-methods program evaluation.
- Experience with digital learning platforms (Canvas or equivalent), assessment instruments, and credentialing frameworks.
- Prior scholarly contribution to the adult-learning-science literature, especially in AI education, medical education, or digital learning.
- Experience bridging academia, health systems, industry, or policy communities.
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