Top Biotech Data & Analytics Jobs

The Senior Data Engineer will build and scale data infrastructure, create data models, develop ingestion pipelines, and ensure data quality for drug development at Formation Bio.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

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

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.

This role involves owning demand forecasting models, conducting analyses, leading cross-functional projects, and communicating insights to stakeholders in a fast-paced healthcare setting.

Lead the implementation of evaluation frameworks for AI systems and clinical assessments, translate clinical evaluations into rubrics, and supervise a team of analysts and engineers.

The VP, Global Head of Statistics leads statistical strategy for vaccine clinical research, providing statistical analysis, overseeing a large team, and influencing cross-functional research efforts.

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 Clinical Programs Director, Data Intelligence leads the development of data-driven solutions to enhance CRM analytics, automate workflows, and improve operational performance, influencing market share growth in drug development.

The Localization Analyst II manages and coordinates localization projects, troubleshooting issues, vendor management, and implementing tools for process improvements.

Lead and manage the clinical statistical programming organization, oversee regulatory submission programming (datasets, TLFs) for global agencies, maintain SOPs and infrastructure, automate workflows (including AI), manage vendors/CROs, and mentor programming staff to deliver compliant, timely clinical deliverables.

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.