Subject Matter Expert (SME) Artificial Intelligence (AI) in healthcare

We are looking for a qualified and forward-thinking Subject Matter Expert (SME) to review and evaluate online course content focused on the application of Artificial Intelligence (AI) in healthcare . The ideal candidate will have deep domain expertise in healthcare and AI technologies, along with experiences in content evaluation or instructional design.Scope of workCourse Recommendation & AlignmentRecommend related micro-courses that expand on AI's use in diagnostics, clinical decision support, patient monitoring, and operational efficiency.Ensure course topics reflect real-world healthcare applications, industry adoption trends, and emerging technologies.Program and Course Outline ReviewReview and refine the course structure, learning objectives, and topic flow to ensure clarity and alignment with healthcare workflows.Confirm that content progression supports foundational-to-practical understanding across healthcare roles.Content Review & EnhancementValidate technical and clinical accuracy of content; contribute realistic use cases, AI tool examples, or risk‐benefit considerations.Suggest improvements to learning activities, assessments, and visuals to support effective comprehension.Reference Material SupportProvide reliable, up-to-date sources such as peer-reviewed articles, health tech reports, whitepapers, and AI governance guidelines (e.g., FDA, WHO).Recommend resources that support ethical, regulatory, and operational perspectives in AI implementation.Industry & Client RelevanceEnsure the course aligns with current trends such as predictive analytics, virtual health assistants, or AI-based triage tools.Confirm that course outcomes address healthcare quality, safety, compliance, and workforce readiness.Content MaintenanceRecommend updates based on regulatory shifts, AI innovations, or clinical best practices to ensure long-term relevance.Support content refresh strategies with examples or updated references as needed.Collaboration & CommunicationWork closely with instructional designers, editors, and healthcare learning teams to ensure the course is clinically sound and learner-centric.Participate in feedback cycles and ensure SME inputs are translated into meaningful, accessible content.QualificationsMaster's degree or higher in Health Informatics, Medicine, Nursing, Biomedical Engineering, Public Health, or a closely related field with a strong understanding of AI applications in clinical and administrative settings.Professional Experience8–10 years of experience in healthcare delivery, informatics, or digital health innovation roles.Proven track record in applying or evaluating AI systems within hospitals, clinics, insurance, or public health settings.Experience leading or advising on projects involving AI-enabled solutions such as clinical decision support, diagnostic imaging, predictive analytics, or patient data optimization.Familiarity with HIPAA, FDA AI/ML regulations, or AI bias and ethics in healthcare.Additional RequirementsExperience developing or reviewing healthcare training materials, technical documentation, or upskilling modules.Strong writing, communication, and collaboration skills to support interdisciplinary course development.Preferred SkillsWorking knowledge of AI tools or platforms used in healthcare (e.g., IBM Watson Health, Aidoc, Epic AI modules, predictive EHR tools).Ability to translate complex AI concepts into practical, healthcare-specific examples for clinical and non-clinical learners.Familiarity with standards or frameworks from organizations such as HL7, HIMSS, FDA, or WHO in the context of digital health and AI.Timelines and PayoutProject start date: August 04, 2025Project end date: October 31, 2025Time availability: 10 hours per weekJob type: Part-time, ContractWork location: RemoteYou must take the necessary steps to safeguard the integrity, security, and confidentiality of shared confidential information.#J-18808-Ljbffr