Top Biotech Data & Analytics Jobs

The Senior Manager will drive performance tracking, reporting, and analytics to support commercial performance, collaborating with stakeholders to optimize reporting processes and generate insights.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

Manage data operations, ensure data quality, lead client engagement audits, and support oncology research through effective data solutions.

Lead the Product Analytics & Data Science team, focusing on mentorship, stakeholder management, and executing data projects to drive insights and value.

The Clinical Data Specialist interprets and organizes clinical oncology data, develops real-world data variables, ensures data quality, and improves data models while collaborating with the Clinical Data team.

As a Senior Pricing Analyst, you'll develop pricing strategies, conduct financial analysis, and collaborate with teams to optimize pricing for clinical trials.

The Biostatistician II will write statistical analysis plans, collaborate with global sponsors, conduct statistical analyses, and present findings in data review meetings while managing multiple studies.

Lead the analysis, interpretation, and management of clinical data for clinical trials. Collaborate with teams, oversee data science initiatives, and ensure compliance with regulations.

Leads biostatistics for clinical trials, ensuring sound statistical methodology and compliance with regulatory standards while collaborating with clinical teams and managing budgets.

The Senior Business Process Analyst will drive performance improvements by delivering reports, maintaining data integrity, and supporting customers in data analysis and technical issues.

The Clinical Project Statistician develops study protocols, analyzes data for clinical studies, collaborates on reports, and maintains statistical methodologies for clinical research and development.

The role involves leading Salesforce data architectures, integrations, and migrations, while overseeing engineering practices and ensuring data governance and quality.