Requirements • Collaborate with clinical, administrative, and technical staff to document business workflows and -develop a deep understanding of how EHR data is captured and used. • Build subject matter expertise in EHR system behavior, data structures, and operational processes. • Author clear, comprehensive documentation, including data dictionaries, workflow diagrams, and technical notes that support knowledge transfer and model development. • Act as a liaison between business users and developers, particularly when new EHR features or data elements are introduced. • Support rollout of application updates by training users, gathering feedback, and creating reference materials to ensure smooth adoption of new workflows and data entry practices. • Use Python, SQL, and foundational machine learning techniques to analyze and model clinical and operational data stored in Oracle databases. • Clean and query large datasets to prepare training data and derive insights that feed into dashboards, reports, and predictive models. • Build and deploy AI/ML models integrated into tools that support decision-making and operational improvement. • Translate complex data findings into actionable insights through structured storytelling, effective visualizations, and clear communication. • Strong foundational knowledge Python & SQL • Strong verbal and written communication skills, including the ability to explain what you learn • Interest in healthcare, medical technology, or public health systems • Detail-oriented, self-motivated, and ready to ask questions and document what's not obvious