Top Biotech Data & Analytics Jobs

The Senior Director of Biostatistics will lead the biostatistics team, drive statistical strategies, and ensure high-quality contributions to advance drug development.

As a Biostatistics Summer Associate, you will conduct causal inference analyses, collaborate in projects, and apply statistical knowledge in real-world settings.

Build and maintain scalable ETL pipelines and storage for multimodal clinical and NLP data; ensure data quality, security, and compliance; implement synthetic-data generation and real-time model evaluation infrastructure; create dashboards and documentation to support AI research and monitoring.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

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

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, 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.

Design, build, and maintain scalable data pipelines and cloud-native data solutions. Ensure data quality, implement governance, troubleshoot incidents, optimize performance, and collaborate with data scientists and stakeholders to deliver analytics-ready datasets.

Provide statistical expertise for clinical and experimental studies: consult on study design, perform analyses, program statistical methods, interpret and report results, write methods for manuscripts, manage data and collaborate with investigators.

Lead business analysis for scientific research systems: translate strategy into requirements, document current and future processes, design data models and mappings, prioritize backlog, investigate data quality, and partner with scientists and engineers to define technical solutions that improve laboratory workflows and data-driven research.

This role involves collaborating with cross-functional teams to design clinical experiments, analyze data, and communicate results. Responsibilities include developing protocols, conducting statistical analyses, and training non-statisticians, primarily within the oncology sector.

The Associate Director leads External Clinical Data Management, ensuring compliance with best practices, coaching teams, and improving processes.