Top Healthtech Data Engineering Jobs in San Francisco, CA

The Data Architect will design data infrastructure for AI-native drug discovery, focusing on data models, ontologies, and data platform architecture to support scientific workflows and analytics.

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

The Principal Data Architect leads the development of the Enterprise Data Strategy and architecture, ensuring alignment between operational and analytical systems while enabling advanced analytics and AI integration across the enterprise.

Lead and expand the geospatial and climate consulting practice, managing a technical team, developing business opportunities, and providing expert guidance and oversight on projects related to geospatial data and insurance.

The Associate Director will oversee statistical programming for clinical trials in oncology, manage programming teams, ensure regulatory compliance, and lead project delivery timelines while providing hands-on SAS programming support.

The Analytics Engineer will build data models and pipelines for reporting and analytics, improving data infrastructure for ML and AI products, and setting processes for data collection and analysis.

Own and evolve the data platform by leading architectural evolution, collaborating with teams for strategic data initiatives, and ensuring reliable data systems.

The Principal Data Architect will develop a cloud-native data platform to support AI/ML in biotherapeutics, collaborating with various teams to optimize lab data usage.

Develop and manage Sutter Health's data infrastructure, ensuring data quality, building pipelines, and collaborating with researchers on projects involving sensitive data under HIPAA regulations.

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