Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Implementation Lead will oversee revenue cycle management implementations, collaborate with teams, ensure data accuracy, and enhance healthcare operations.

The Senior Software Engineer will design and build backend services, collaborate with teams, and ensure secure coding practices in a remote role.

As a Staff Machine Learning Research Scientist, you will lead ML research, develop evaluation frameworks, mentor researchers, and collaborate on clinical AI solutions.

Lead and scale a remote revenue cycle solution engineering team to deliver secure, scalable integrations (HL7, FHIR, APIs, DB extracts) with large health systems (Epic, Cerner). Partner with Product, Engineering, Implementation, and Customer Success, manage complex deployments, drive architecture and tooling improvements, and provide hands-on escalation support and metrics for integration performance.

The Senior Product Manager will lead the strategy and enhancement of SmarterDx's data applications, collaborating with teams to optimize user solutions and data capabilities within healthcare.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

Lead cutting-edge machine learning research, develop algorithms, and deploy production-ready models in a healthcare-focused AI environment. Collaborate with engineers and clinicians to optimize healthcare systems.

The Senior Product Analyst will analyze data to inform product strategy, develop analytics solutions, and communicate insights through visualizations, collaborating with cross-functional teams.

As a Senior Business Analyst, you will analyze data to generate insights for clients, improve performance, and drive strategy within the Customer Success team. This role requires advanced SQL skills and experience in business intelligence, focusing on data-driven narratives and effective communication with stakeholders.

Lead and grow a data engineering team to ingest and operationalize healthcare data, ensuring quality, governance, and timely client integrations.