Top Healthtech Data Engineering Jobs in San Francisco, CA

The Senior Analytics Engineer will create and maintain data models for cancer screening insights, collaborating across teams to ensure accurate analysis and decision-making, while exploring AI and automation tools to improve workflows.

As a Data Engineer at Rhythm360, you will optimize ETL workflows, develop data models, ensure data quality, and collaborate with teams to drive insights in healthcare.

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 Manager, Data Platform will oversee data projects, collaborate with stakeholders to define data needs, manage product support, and enhance data processes.

The role involves developing and maintaining R-based applications, mentoring biostatisticians, overseeing projects, and ensuring statistical quality and compliance in clinical trials.

Lead the development and validation of analytical pipelines and statistical models, automate processes, mentor peers, and ensure compliance for clinical reporting.

Analyze and develop data solutions, lead projects, translate business requirements, provide support for ETL processes, and mentor junior team members.

As a Sr. Analytics Engineer, you will partner with multiple stakeholders to transform data into actionable insights, maintain data governance, and drive product improvement through analytics engineering practices.

The Senior Director of Data will lead the transformation of data teams, implement a modern data infrastructure, and drive collaborative innovation across the organization.

As a Senior Data Engineer, you will architect, design, and implement data lakes and warehouses while managing AWS environments, ETL pipelines, and analytics projects. Collaborate with teams to enhance strategic data processes and support healthcare solutions.