Top Senior Level Biotech Jobs

The Procurement Director leads sourcing, vendor management, contract negotiations, and supply chain activities within a healthcare context, driving strategic procurement efforts while managing capital equipment lifecycle and cost savings initiatives.

The Senior Manager of Biostatistics will lead clinical trial design and analysis, guiding teams and ensuring compliance with regulatory standards while mentoring junior staff.

The Account Specialist will engage healthcare providers, build customer relationships, drive product adoption, and support launch execution while achieving sales goals in a defined territory.

The role involves building and leading the Quality Management Systems in a biotech company, ensuring compliance and operational efficiency in GxP activities, establishing governance, and fostering continuous improvement within clinical and commercial activities.

The Associate Manager regulates strategy execution for Microsoft 365 services, enhances solutions, supports users, and ensures alignment with regulatory requirements and procedures.

The role involves leading LCM workflows, developing automated image analysis, and optimizing biotinylation strategies for cellular and tissue analysis. Requires expertise in microscopy and image analysis for drug discovery efforts.

The Recruiter will handle full-cycle recruiting for operations and life science roles, focusing on building candidate pipelines and relationships with hiring managers while ensuring a high-quality candidate experience.

The Advanced Data Analytics Lead will advise clients, manage teams, develop client relationships, and drive data-driven solutions in the pharmaceutical sector.

The engineer designs analog and mixed-signal chips, manages layout processes, oversees verification plans, and runs complex simulations. Also responsible for guiding junior staff and consulting with users and vendors for alignment on project goals.

As a Software Engineer for the AI platform, you will build and scale infrastructure, design secure systems, develop tooling, and ensure performance and security for AI workflows in life sciences.