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As a Scientist in In Vitro Pharmacology, you will develop and execute assays, analyze data, and collaborate on drug discovery projects, emphasizing rejuvenation biology.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

Support planning, execution, and delivery of multidisciplinary projects, ensuring cross-functional coordination and operational efficiency. Communicate updates and track budgets.

The Manager will oversee Genomics Hub operations, manage resources and teams, ensure workflow efficiency, and lead technology development and staff training.

Contribute to developing machine learning models for multi-scale biology, focusing on design, deployment and optimization across teams and technologies.

The role involves leading analytical development and quality control across multiple modalities, building a high-performing team, and managing contract manufacturing organizations for therapeutic programs.