Top Biotech Data & Analytics Jobs in Madison, WI

The Clinical Biostatistician II will lead and collaborate on projects to develop clinical evidence for oncology tests, design studies, conduct analyses, and communicate results effectively.

Lead biostatistical components in clinical trials, oversee statistical activities, mentor junior statisticians, and ensure regulatory compliance.

As Commercial Analytics Manager, you'll analyze performance data to develop strategic insights, drive growth, own sales forecasting, and enhance compensation plans in partnership with Finance.

Lead clinical data management for studies, oversee CROs, ensure data quality, coordinate data review, and assist in clinical system implementations.

Lead the implementation of data governance strategies for clinical trials and real-world evidence data, ensuring compliance with regulations and operational excellence.

Lead a Lab Data Engineering team to deliver analytics and reporting solutions supporting lab operations, mentoring junior analysts and driving data strategy.

Lead the Central Statistical Monitoring team to oversee statistical design and governance in clinical trials, ensuring data integrity and safety. Develop monitoring indicators, validate models, and communicate findings to cross-functional teams. Provide training and support for audits and inspections, promoting continuous improvement in statistical practices.

The Director of BI & Analytics will lead data architecture, build a data lake, manage ELT/ETL pipelines, and develop enterprise reporting and models, partnering across functions to drive commercial analytics and insights.

The Associate Director will lead BI&A research projects, translate data into strategic insights, and communicate findings to senior leadership within a fast-paced biopharmaceutical environment.

The Lead BI Developer will oversee the architecture and optimization of the BI ecosystem, focusing on Power BI, mentoring teams, and ensuring high-quality analytical data. Responsibilities include designing data models, leading strategy, and enhancing BI capabilities across the organization.