Top Biotech Data & Analytics Jobs in San Francisco, CA

The role involves building and scaling a scientific model platform at Benchling, integrating various AI models, and collaborating with users to optimize usage in biotech R&D.

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

The Senior Biostatistician leads statistical input for clinical trials, ensuring scientific rigor and regulatory compliance, while collaborating with cross-functional teams.

The Early Development Statistician designs and analyzes exploratory clinical studies, contributing to protocol development and guiding trial strategy. Responsibilities include statistical analysis, ensuring data robustness, and regulatory interactions, while collaborating with cross-functional teams to influence trial design based on early data signals.

The Scientist II will develop and execute high-throughput screening assays, collaborate with multidisciplinary teams, analyze biological datasets, and maintain rigorous documentation for drug discovery.

Lead strategy and execution for clinical systems and analytics (Veeva, Medidata, Salesforce, cloud platforms). Oversee large technical programs, scalable data architectures, compliance with GxP, cross-functional stakeholder alignment, budgeting, and people leadership to deliver analytics-ready clinical data and drive operational improvements.

The People Analytics Specialist II prepares HR reports, develops data queries, performs data analysis, ensures data accuracy, and collaborates with HR teams to meet operational needs.

As a Data Engineer at Calico, you'll develop infrastructure for research data, collaborate on projects, mentor junior engineers, and ensure data governance.

The Director of Data Analytics will lead the Data Analytics team, setting the vision and roadmap for data strategy, overseeing analytics functions, and collaborating with stakeholders to leverage data for business improvement.

DiffUSE seeks individuals interested in interdisciplinary roles involving computational biology, machine learning, and open scientific tooling. Responsibilities include data processing, ML research, infrastructure engineering, and community building.