Jobs at Verana Health

Build and scale Verana Health’s ecosystem partnerships strategy across CROs, consulting firms, data aggregators, and technology platforms. Design partner segmentation, operating processes, onboarding playbooks, governance, and enablement programs; manage high-value relationships; negotiate data-sharing and integrated service agreements; deepen existing partnerships; and drive ecosystem-sourced bookings and revenue. Collaborate with Product, Marketing, Legal, Data, and Operations while monitoring partner performance and pipeline health.

Conduct observational real-world data studies for life sciences clients using EHR and claims data. Develop statistical analysis plans, execute analyses, create research algorithms, and contribute to publications. Lead client calls as the scientific authority, translate clinical questions into analytics requirements, and collaborate with commercial, medical, product, engineering, and sales teams. Apply biostatistical and epidemiological methods across therapeutic areas including oncology, ophthalmology, and urology.

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 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.

Lead vision, strategy, and execution for autonomous AI agents and multi-agent workflows for life sciences and provider-facing use cases. Translate user needs into technical requirements, define safety guardrails and UI, partner with engineering/data science/legal/security to move agents into production, set product metrics (accuracy, task completion, cost, trust), and represent the product at partner sites and conferences.