Top Biotech Product Manager Jobs in New York City, NY

Lead product management efforts at Genesis Molecular AI by defining product roadmaps, collaborating across teams, and ensuring execution of projects in drug discovery.

The Director, Digital Product Manager will strategize and execute digital solutions in clinical research, focusing on laboratory services and customer engagement, while leading cross-functional teams and aligning with regulatory requirements.

This role in GenScript involves supporting marketing strategies and product management, collaborating across teams and industries within biotechnology, while managing global product launches and market performance.

The Senior Product Manager will lead product initiatives, manage lifecycle strategies, and collaborate across functions to drive innovation and customer partnerships in the Core Proteins portfolio.

The Senior Product Manager will lead product initiatives, manage lifecycle, analyze market needs, collaborate across functions, and advance product strategies in the Core Protein portfolio.

The role involves owning the Oracle Fusion Financials product, managing roadmap and backlog, configuring systems, ensuring compliance, and partnering with finance teams for delivering solutions.

The Product Manager will strategize, develop, and manage the commercialization of products in the life sciences market, ensuring financial success and alignment with customer needs.

The Product Manager will oversee the roadmap for ION capabilities, collaborating with engineering and data teams to improve forecasting, delivery, and operational efficiency. This involves defining technical requirements, managing product execution, and leading cross-functional initiatives to enhance network decisioning and performance.

The Associate Director will drive digital tool adoption, develop communication strategies, train users, monitor progress, and oversee AI capabilities in Quality processes.

The Associate Product Owner supports product discovery, collaborates with teams, and translates user needs into product direction for an AI and HPC platform.