Lead and manage a team developing and operationalizing machine learning systems for structured and unstructured clinical data (EHR, text, imaging). Define technical strategy, oversee model lifecycle management, fine-tune and deploy foundation models, ensure data quality and model governance, partner cross-functionally, and mentor ML scientists and technical leaders.

Design, develop, and maintain scalable APIs, backend services, user interfaces, and business applications. The role includes cloud infrastructure and CI/CD optimization using AWS, Docker, and Kubernetes; application security; testing; observability; Agile collaboration; and mentoring junior engineers. The engineer will independently drive solutions from design through production while applying modern system design, database, microservices, and AI-assisted development practices.

Lead new revenue generation by selling complex Real-World Data and Real-World Evidence agreements to life sciences, pharmaceutical, and CRO organizations. Manage the full sales lifecycle, architect tailored data solutions, lead proposals and negotiations, build executive relationships, manage pipelines and forecasts, and collaborate with Product, Data, and Operations teams to close large multi-year deals.