Healthcare AI Trainer

Healthcare Data Analytics & AI TrainerRole Overview: Requirement for a Subject Matter Expert (SME) to support content development and training delivery for a comprehensive Healthcare Data Analytics & AI program. The SME may also act as a trainer for live sessions.

Key Responsibilities

Design, create, Review, validate, and enhance curriculum across:Healthcare systems, workflows, and data foundationsInteroperability standards (HL7, FHIR)Python (Pandas, visualization) for healthcare dataSQL and healthcare analyticsBiostatistics and statistical analysisMachine Learning and Deep Learning in healthcareClinical prediction models and survival analysisMedical imaging AI and CNNsClinical NLP and Generative AICloud, MLOps, compliance (HIPAA, governance)Ensure real-world relevance and industry alignmentSupport lab design and capstone projectsDeliver live training sessions (if required)Mentor learners and address technical queriesMandatory Certificate in HealthcareCertified Billing and Coding Specialist (CBCS) Exam PrepCertified Revenue Cycle Professional (CRCP) Exam PrepRequired Skills & Experience:Strong experience in Healthcare Data Analytics / Healthcare AI / Clinical Data ScienceHands-on expertise in:Python (Pandas, ML libraries)SQLMachine Learning & Deep Learning (CNN, RNN/LSTM, NLP, Transformers)Data visualization and analytics toolsKnowledge of:Healthcare data types (EHR, claims, imaging)HL7, FHIR standardsBiostatistics and clinical metricsCloud platforms & MLOpsHealthcare compliance (HIPAA, PHI handling)Experience working with real-world healthcare datasetsPrior teaching/training experience preferredTechnical Considerations:Ability to design solutions within limited compute environments (e.g., Google Colab)Optimize models for:Memory constraintsRuntime limitsEfficient training workflowsEngagement Type:Contract / Part-time / Training-based