Top Biotech Data & Analytics Jobs

The Senior Scientific Data Engineer will design and develop software applications, create data architectures, analyze data for solutions, and mentor junior team members within a mission-driven team focused on cancer treatment.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

The Associate Director, Biostatistics supports clinical development programs, ensuring the quality and timeliness of statistical deliverables and collaborating with various teams for effective study designs and data analysis.

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 People Analytics Manager will lead the development of HR analytics, collaborate with HR and business leaders, and drive data-informed workforce strategies.

The Data Engineer will build and maintain data infrastructure, design data pipelines, and develop reusable frameworks, leveraging technologies like Azure Databricks and PySpark for data processing and transformation.

The Analyst, Enterprise Data Integration ensures data integrity across Orca Bio's systems, manages data integration, performs data validation, and supports cross-functional reporting needs. The role involves executing commercial data tasks as part of transitioning to a centralized data warehouse.

The Database Administrator manages the SQL Server environment, ensuring data integrity, performance, and reporting, while coordinating with global teams.

Lead a multidisciplinary team in pharmacology and bioassay development, oversee assay strategies, ensure data quality, and support drug development processes.

As an intern, you will design and optimize dashboards in Sigma, write SQL queries for data extraction, and use Python for data manipulation, all while collaborating with the data team.