Lead the Vision:Own and drive the vision for predictive AI, from risk scores to recurrence prediction, translating clinical needs into actionable product requirements., Own the full product lifecycle for predictive/prognostic tests: discovery, development, validation, regulatory submission., Collaborate Deeply:Work closely with data scientists to develop and validate predictive models. Align technical, clinical, and commercial teams to create products that are innovative, safe, and reliable., Drive External Engagement:Build and manage relationships with KOLs, academic collaborators, and clinical partners., Drive Evidence Strategy: Lead the development of clinical and analytical evidence to support regulatory approvals and payer adoption., Prioritize with Impact: Set the right priorities based on impact, feasibility, and regulatory timelines., Communicate Clearly: Effectively share your vision and ideas across technical, clinical, and business audiences.
