• Partner with Clinical, Medical, and Operations teams to apply data science and AI to longevity-focused care delivery, including hormone optimization, metabolic health, cardiovascular risk, and preventative care pathways. • Develop and evaluate models and AI-driven workflows that support clinicians in delivering personalized, evidence-based longevity care at scale. • Design and implement agentic AI workflows to assist with tasks such as longitudinal chart review, lab trend interpretation, clinical summarization, follow-up planning, and patient outreach. • Analyze longitudinal patient data; including labs, vitals, prescriptions, and engagement signals; to identify opportunities to improve outcomes, adherence, and care consistency over time. • Build analytical frameworks to measure clinical effectiveness, physician productivity, and patient safety in a virtual care environment. • Collaborate with product and engineering teams to integrate AI-powered tools directly into telehealth clinical workflows, ensuring high usability and clinician trust. • Define and track key performance indicators related to longevity outcomes (e.g., biomarker improvement, therapy adherence, patient engagement) and operational efficiency (e.g., time per visit, panel capacity). • Evaluate and monitor AI-assisted clinical tools with a focus on reliability, bias, and real-world performance, incorporating clinician feedback and human-in-the-loop controls. • Communicate insights, tradeoffs, and recommendations clearly to clinical leaders and cross-functional stakeholders. • Contribute to shared standards and best practices for responsible, compliant AI use in longevity telehealth.