Top Biotech Data Science Jobs in San Francisco, CA

The Scientist II will carry out complex research projects, executing data analyses and communicating scientific findings for biopharmaceutical clients using the Tempus data platform.

The Associate Principal Statistical Analyst will oversee statistical programming for oncology clinical trials, mentor others, ensure compliance with standards, and deliver analyses for regulatory submissions.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.

Lead high-impact data science initiatives in oncology and inflammation, utilizing computational biology and AI/ML expertise to analyze complex datasets and drive therapeutic strategies.

The Head, Innovation Accelerator Data Science leads technical projects in data science, ensuring adherence to best practices and innovation roadmap alignment. This role involves team leadership, technical execution, and collaboration with cross-functional partners.

Lead scientific initiatives using biostatistics to inform drug discovery and clinical trial design. Guide data science methodologies and collaborate across teams.

Intern will develop machine learning models for regulatory genomics, validate predictions with scientists, and communicate findings through publications and presentations.

As a Bioinformatics Engineer, you will analyze multi-omic data, develop bioinformatics pipelines, and collaborate on research for neurological diseases.

The Staff Scientist will leverage advanced data science and ML techniques to support drug discovery, focusing on model development and collaboration with scientists.

Lead data analysis of complex biological datasets, develop computational tools, and derive insights for biomarker discovery to enhance patient care in infectious diseases and beyond.