Top Biotech Data & Analytics Jobs in San Francisco, CA

Lead the analytical team, execute high-impact analyses, develop frameworks and dashboards, and communicate insights effectively to stakeholders.

The Associate Director, Data & Analytics will define a comprehensive data strategy, oversee data governance, and drive advanced analytics initiatives in a biotech context.

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

The Biostatistics Director leads statistical strategy for clinical trials, oversees design and analysis, ensures regulatory compliance, and manages timelines and budgets for projects.

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

The Manager of Commercial Analytics will provide strategic insights to support decision-making in rare diseases, focusing on patient journey metrics and market data analysis.

The AI Research Engineer will develop AI x biology foundation models for drug discovery, optimize computing infrastructure, and integrate AI models into production.

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.

The Senior Statistical Analyst will lead studies, providing statistical programming support, ensuring quality and compliance of clinical trial data, and delivering timely analysis for regulatory and internal presentations.

The Director of Biostatistics provides strategic statistical leadership for PK and PD studies, ensuring robust study design and data analysis in partnerships across clinical and regulatory teams.