Chan Zuckerberg Initiative

About the Company

We are working at the intersection of AI and biology to advance science, build powerful technologies and transform health. Through bold investments in cutting-edge research, cross-disciplinary collaboration, and innovative tools and data, we aim to help cure, prevent and manage all diseases by the end of this century. Our work brings together scientists, engineers, technologists and AI experts to accelerate discovery and empower the global scientific community.

Listed Jobs

Company Name

Chan Zuckerberg Initiative

Job Title

Principal Technical Program Manager, ML/AI, Science

Job Description

**Job Title**: Principal Technical Program Manager, ML/AI, Science **Role Summary**: Lead strategic AI/ML initiatives to advance biological research, bridging scientific innovation with scalable technology. Drive cross-functional execution of AI-based solutions aligned with scientific objectives. **Expectations**: 12+ years in technical program management; 3+ years deploying AI/ML in biotech/life sciences. Proven expertise in managing complex projects, driving technology adoption, and coordinating multidisciplinary teams. **Key Responsibilities**: - Own and execute large-scale programs integrating AI/ML with biological use cases. - Coordinate product managers, engineers, scientists, and computational biologists to develop AI-driven solutions. - Oversee AI engineering roadmap, ensuring alignment with organizational priorities and access to infrastructure (e.g., GPU clusters). - Identify and mitigate scalability bottlenecks in AI workflows. - Translate scientific research into production-grade AI agents, models, and benchmarking frameworks. - Define and monitor impact metrics (publications, platform performance, adoption). - Facilitate cross-functional collaboration across academic, biotech, and industry stakeholders. - Communicate technical and non-technical milestones to stakeholders. **Required Skills**: - Advanced systems thinking to align scientific innovation with scalable implementation. - Experience managing AI/ML model validation, documentation, and integration pipelines. - Expertise in bio-specific program management challenges. - Track record in coordinating research-to-production workflows. - Strong stakeholder engagement and influence across technical/non-technical audiences. **Required Education & Certifications**: - Advanced degree in computer science, bioengineering, computational biology, or related field. - Demonstrated leadership in AI-first biotech environments (e.g., AI/ML deployment in biological contexts). - Proficiency in AI/ML frameworks and biological data workflows.

Redwood city, United states

Hybrid

Senior

21-10-2025