You will develop and maintain a pipeline that converts clinical standards into executable decision modules using advanced machine learning techniques. This involves designing experiments, co-designing benchmarks, and collaborating with clinicians to ensure the fidelity and safety of the system.
Build and lead an engineering team to own the end-to-end clinical system while setting technical direction for reliability and auditability. Contribute directly to development across the full stack and infrastructure while mentoring engineers and hiring top talent.
You will own the architecture, system design, and long-term technical direction of the platform while contributing directly to frontend, backend, and infrastructure development. The role involves working closely with clinicians and researchers to productize feedback and ensure the reliability and auditability of clinical decision artifacts.
