Top Healthtech Data Engineering Jobs in San Francisco, CA

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

As a Senior Data Engineer, you will design and maintain data pipelines, define governance standards, and collaborate across teams to enhance Headway’s data architecture.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

The Sr. Integration Analyst facilitates healthcare data integration, works on EHR interoperability, analyzes clinical data, and ensures compliance with data standards and regulations.

As a Data Architect II, you'll design and maintain data architectures, focusing on big data and AI workflows, while ensuring compliance with enterprise standards and best practices.

The Data Engineer will design, build, and support data infrastructure. Responsibilities include developing data products and collaborating with stakeholders to meet data needs, ensuring scalable solutions and contributing to a robust data culture.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

The Systems Administrator manages servers and cloud infrastructure, supports data science and HPC needs, implements system architectures, and resolves technical issues.

The Data Engineer II will design, develop, and improve analytical data models and pipelines, collaborating across teams to meet data needs.