Top Remote Biotech Data & Analytics Jobs in San Francisco, CA

Lead statistical analysis for clinical studies in oncology and cardiology, provide project leadership, and mentor junior biostatisticians while ensuring regulatory compliance.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

Lead bioinformatics strategy and development of NGS ctDNA-based MRD assays, offering technical leadership, mentorship, and ensuring compliance with regulatory standards while collaborating with various teams.

As the Principal Data Scientist, lead RWD studies, mentor junior staff, and execute research methodologies for healthcare economics projects.

As a Principal Statistical Programmer, you'll generate datasets, oversee CRO deliverables, support clinical reports, and ensure compliance with FDA regulations.

The role involves leading global forecasting and performance management, setting standards, overseeing processes, collaborating with cross-functional teams, and developing a high-performing team in the oncology biotech sector.

Lead design, planning, execution, and quality oversight of clinical trial data management (Phase I-IV). Manage CROs and vendors, ensure EDC/eCRF/ CDM standards, support database locks/snapshots, collaborate with Biostatistics/Programming and other functions, and maintain regulatory-ready documentation for submissions.

Lead oversight of data management for assigned studies, manage external vendors, review and approve DM documentation, perform secondary UAT of EDC, implement RBQM oversight, and provide cross-functional input on protocols and study deliverables to ensure data quality and regulatory compliance.

The Associate Director, Data Strategy will establish and deliver a comprehensive data strategy for rare diseases, partnering with stakeholders to manage data sourcing, governance, and reporting, while ensuring alignment with business priorities.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.