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Lead technical vision and execution for AI capabilities in drug discovery, build a multidisciplinary team, and drive organizational alignment with research priorities.

The Discovery Toxicology Project Leader coordinates and manages toxicology projects, ensuring effective study execution and compliance with regulatory standards, while collaborating with cross-functional teams.

The Senior Manager leads automation systems in a GMP setting, ensuring compliance and continuous improvement while managing a team and driving strategic initiatives.

The Scientific Data Engineer will design data architecture, build ETL/ELT pipelines, implement data quality checks, and develop semantic layers for AI-consumable data products in healthcare research.

Responsible for quality oversight in operations, document approvals, investigations, and quality system improvements in manufacturing and laboratory settings.

Embed with discovery teams to translate scientific workflows into production AI systems. Rapidly prototype and deploy LLM/RAG-based solutions for multi-omics problems, run evaluation loops, ensure data provenance and reliability, and distill learnings into reusable platform components to drive adoption across therapeutic areas.

The Sr. Principal Engineer will lead process engineering support for a new bioprocess facility, managing startup and continuous improvement efforts for pharmaceutical manufacturing operations.

The Scientist supports device assembly operations by providing technical guidance, analyzing data, leading investigations, and improving processes. Responsibilities include documentation, risk management, and supplier interface.

Lead maintenance engineering efforts, consolidate Maximo systems, optimize CMMS operations, and develop analytics for performance insights in pharmaceutical environments.

The role entails integrating data across various systems within manufacturing, project management for automation solutions, and ensuring compliance with safety and quality standards.