Top Biotech Data & Analytics Jobs in San Diego, CA

Lead pharmacometric modeling efforts for clinical development, oversee analyses, mentor colleagues, and contribute to regulatory submissions and publications.

The Clinical Research Lead oversees the execution of clinical trials by engaging investigators, managing sites, and optimizing enrollment strategies in the Oncology field.

The Data Architect will design data infrastructure for AI-native drug discovery, focusing on data models, ontologies, and data platform architecture to support scientific workflows and analytics.

The Senior Scientific Data Engineer will design and develop software applications, create data architectures, analyze data for solutions, and mentor junior team members within a mission-driven team focused on cancer treatment.

Design, implement, and monitor QC processes and bioinformatic analyses for high-throughput RNA-based microarray and NGS LDT diagnostic products run in CLIA labs. Develop algorithms, author SOPs and validation documentation, troubleshoot operational issues with cross-functional teams, and build dashboards/visualizations (Tableau, R Shiny) to track lab performance and identify trends.

The Sr Bioinformatics Scientist will develop secondary analysis algorithms for cancer treatment decisions based on molecular profiles, collaborating on R&D studies and providing technical guidance.

This role involves defining and leading biopharmaceutical bioinformatics strategy, overseeing computational biology tasks in oncology and immunology, and collaborating across various scientific functions to support clinical development programs.

The Director, DMPK oversees drug metabolism and pharmacokinetics studies for drug candidates, collaborating with cross-functional teams and managing CROs.

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.

Lead statistical programming for clinical trials, oversee programming deliverables, ensure compliance with CDISC standards, supervise staff, and develop programming solutions.

The Data Engineer designs, builds, and supports ELT/ETL pipelines on Azure, ensuring reliability, quality, and collaboration with data stakeholders for analytics and reporting.