Top Biotech Data & Analytics Jobs in New York City, NY

The Director of Biostatistics leads statistical strategy and analysis for clinical trials in oncology, collaborating with clinical teams and regulatory bodies.

As a Senior Data Scientist, analyze healthcare data to improve health outcomes, develop reports and dashboards, and collaborate across teams to leverage genomic data for health insights.

The Senior Director of Data Management leads data management strategy for clinical programs, overseeing CRO partnerships, data lifecycle management, and compliance with regulatory standards. They mentor staff and ensure high-quality clinical data for submissions.

The Senior Manager in R&D Data Literacy & Monetization drives the strategic utilization of R&D data, transforms datasets into reusable products, and promotes data literacy across the organization, ensuring effective governance and promoting advanced analytics and AI initiatives.

Provide support for data repository and analytics tools in GMP data, focusing on manufacturing and quality domains. Analyze business needs, manage data curation, ensure compliance, and lead documentation and testing efforts.

The Sr. Manager, Biostatistics leads statistical activities for clinical studies, ensuring quality deliverables and compliance with regulatory standards while collaborating cross-functionally and with external partners.

The role involves designing, developing, and maintaining Power BI dashboards, supporting data-driven sales operations, and ensuring data quality and governance while collaborating with various stakeholders.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

Support the implementation and optimization of Epic modules, focusing on scheduling, registration, and CRM workflows to enhance patient engagement.

The Manager of Data Engineering will lead a team to provide analytics solutions for lab operations, manage end-to-end projects, and ensure data quality and transparency.