Top Remote Biotech Software Engineer Jobs in San Francisco, CA

Lead Biostatistical Programming for Oncology. Ensure accuracy in clinical study results and manage global programming teams. Oversee strategies and compliance.

The Senior Software Engineer II will design solutions, lead projects, troubleshoot code, develop features, and implement DevOps practices in a remote setting.

Lead and manage the core engineering team for Family History Trees, delivering high-throughput, scalable, near-zero-downtime systems. Collaborate with product, design, QA, DBAs, and operations; architect, implement, deploy, and document services; mentor and recruit talent; establish quality metrics and remove project blockers.

The intern will assist in gathering integration requirements, testing with QA teams, and developing message transformations for system interoperability within healthcare projects.

Design, develop, and maintain genetic knowledgebases and curation tools; implement ETL pipelines and data models for genomic and clinical data; build UIs for curation; optimize databases and queries; and collaborate with geneticists, bioinformaticians, software engineers, and IT to integrate knowledge into clinical diagnostics workflows.

The Staff Software Engineer will develop complex systems, perform debugging, enhance software documentation, and leverage AI to improve processes in a clinical lab setting.

Develop software for cancer detection by building reliable, scalable backend services. Collaborate with teams and lead projects in a dynamic environment.

The Imaging Remote Install Engineer executes remote installations and configurations for GE HealthCare digital solutions, ensuring systems are clinically ready and minimizing onsite requirements, while collaborating closely with multiple teams.

The Senior Director, Software Engineering leads global engineering teams, driving strategy, enhancing productivity through AI, and ensuring high-quality software delivery while fostering talent development and operational excellence.

Lead statistical programming for multiple clinical development projects, ensuring quality and compliance while collaborating with cross-functional teams and overseeing data analysis.