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Top Biotech Data & Analytics Jobs in San Francisco, CA
Biotech
The Biostatistics Director leads statistical analysis and clinical trial design, collaborates with teams, manages CROs, and oversees statistical outputs for clinical trials, especially in oncology.
Top Skills:
SAS
Biotech
Responsible for managing and tracking biospecimen data related to sample management, ensuring data integrity using tools like Smartsheet and Excel.
Top Skills:
ExcelProgrammingSmartsheet
Biotech
Lead statistical programming strategy and execution across clinical studies, ensuring regulatory-compliant outputs (SDTM, ADaM, TLFs). Oversee SAS development, validation, infrastructure, automation, and vendor management while partnering with Biostatistics, CDM, Regulatory Affairs, and IT to deliver reproducible, submission-ready deliverables.
Top Skills:
AdamCdiscFda 21 Cfr Part 11GxpSASSas MacrosSdtm
Biotech
The Senior Principal Biostatistician leads study design and data analysis, providing statistical expertise for clinical development and overseeing analysis plans, while mentoring junior staff and collaborating with project teams.
Top Skills:
RSASStatistical Software
Biotech
The Business Analytics & Insights Intern will support Sales Operations analytics projects, focusing on healthcare provider targeting and incentive effectiveness. Responsibilities include data analysis, developing insights, and communicating findings to sales leadership.
Top Skills:
ExcelPower BISQLTableau
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Biotech • Pharmaceutical
The Director of Pharmacometrics will advance drug development, lead analyses, and contribute to regulatory submissions, ensuring quality and timely deliverables.
Top Skills:
MatlabMonolixNonmemPhoenixRSASWinnonlin
Healthtech • Biotech • Pharmaceutical
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.
Top Skills:
Amazon NeptuneDatabricksEvent-Driven ArchitecturesKafkaKinesisNeo4JOwlRdfSnowflakeSparkSparqlSQLTigergraph
Biotech
The Bioinformatics Scientist will build production-grade bioinformatics workflows, develop algorithms, integrate cutting-edge tools, mentor teammates, and enhance scientific UX for researchers.
Top Skills:
ApptainerBiopythonDockerGitJupyterLinuxNextflowNumpyPandasPythonSingularitySnakemake
Biotech
Lead data engineering and platform development for Real-World Data. Oversee a team, define strategy, and ensure reliable data solutions for clinical and business needs.
Top Skills:
AthenaAWSPostgresPythonRedshiftSnowflakeSQL
Healthtech • Biotech
The role involves overseeing statistical programming for oncology trials, providing guidance on regulatory submissions, managing cross-functional collaboration, and ensuring compliance with CDISC standards, while also leading programming teams and projects.
Top Skills:
SAS
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