Collaborate with clinicians, data scientists, and engineers to design, validate, and optimize digital health and analytics solutions. Translate clinical workflows and hypotheses into structured data, rules, and logic for algorithms and quality measurement. Oversee clinical data labeling, abstraction, and validation to ensure model safety, accuracy, and clinical integrity. Mentor junior informaticians and research specialists on annotation quality, workflow efficiency, and clinical decision-making. Evaluate models, algorithms, and rule logic for clinical soundness, patient safety, and alignment with evidence-based practice. Contribute to product and workflow optimization through user feedback, quality audits, and internal best practices. Participate in the development of informatics methodologies and frameworks to scale annotation, labeling, and clinical review processes.