Top Senior Level Biotech Jobs in San Diego, CA

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

The Senior ML Engineer will develop AI solutions for healthcare data, collaborating with various teams, contributing to AI strategy, mentoring, and maintaining expertise in AI technologies.

The Technical Lead will build software systems for AI-native drug discovery, design data pipelines, develop APIs, and collaborate with scientists to create efficient workflows and solutions.

The Director of Data Engineering leads the development of data platforms to support analytics in cancer care, overseeing architecture and engineering while mentoring a team.

Manage global banking operations, daily cash positions, intercompany settlements, cash forecasting, debt and covenant reporting, FX exposure and hedging support, corporate insurance administration, SOX and audit support, treasury systems/TMS implementation, and automation of treasury reporting and reconciliations.

The Senior Account Manager drives sales growth in the Materials Sciences Electron Microscopy business, focusing on key customers in Academia and Government while developing sales strategies and managing team performance.

The Senior Director, Safety and Pharmacovigilance leads Safety and PV activities, ensuring compliance with regulations, overseeing adverse event reporting, and managing vendor relationships.

The Principal Data Product Scientist will oversee data needs management, product ownership, and collaboration with scientific and engineering teams to enhance analytics and data governance in Immunology R&D.

The Account Manager oversees B2B relationships in healthcare networks, aiming to exceed sales targets through strategic planning and customer engagement. Responsibilities include presenting products, managing territory budgets, and collaborating with stakeholders to enhance sales performance.

The Senior Automation Engineer will lead the technical vision for lab automation platforms, focusing on integration, reliability, and operational support. Responsibilities include designing and supporting automation systems, troubleshooting issues, and mentoring engineers while ensuring systems' scalability and usability.