Top Senior Level Biotech Data & Analytics Jobs in San Francisco, CA

As a Senior Mass Spectrometry Software Scientist, you will develop data analysis solutions for mass spectrometry at biopharmaceutical R&D labs, guiding client projects and acting as a scientific expert to enhance client engagement and project success.

The Senior Data Analyst - Operations develops analytics, creates dashboards, analyzes data, and partners with Operations leadership to drive improvements.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

As a Senior Statistical Programmer, you will lead and support clinical trials by generating statistical programming deliverables, performing data analysis, and collaborating with cross-functional teams in a pharmaceutical setting.

The Director of US Insights and Market Development will lead market research initiatives, develop strategies for pre-launch and brand activities, and integrate insights from various analytics to support decision-making within the Commercial team.

Responsible for designing and implementing data governance capabilities in R&D, collaborating with stakeholders to ensure compliance and optimize data management across clinical domains.

Lead design and implementation of the commercial data and systems foundation for launch and growth. Own Salesforce-led commercial systems, integrations, data warehouse, MDM, analytics enablement, governance, and scalable delivery to support commercial operations, reporting, and compliance.

The role involves identifying user friction points through data, maintaining KPIs, developing an analytical roadmap, and collaborating with cross-functional teams to enhance product experience. The manager will also mentor a team focused on technical excellence and accountability.

The Senior Statistical Programmer leads statistical programming for clinical trial data, ensures quality and standards, mentors junior staff, and handles regulatory submissions.

Lead development of analytical pipelines and statistical models using R and Python for clinical data processing and reporting. Mentor peers and ensure compliance with regulatory standards.