Owns, leads and drives large, and highly impactful programs; accountable for planning strategy and execution.
Coordinate multidisciplinary teams in the planning, execution, and scaling of complex AI engineering projects that bridge scientific discovery and translational application, with direct alignment to biological use cases.
Manage AI engineering’s model roadmap and ensuring new models from across the CZI ecosystem are staffed with the appropriate AI engineering teams and have access to our GPU cluster.
Proactively identify scalability bottlenecks and dependencies, and implement mitigation plans to enable sustainable, widespread technology use.
Serve as a liaison between scientific researchers, product managers, research engineers, data scientists, and computational biologists to ensure successful technology transfer and scaling pathways in biological model development.
Manage execution of AI projects such as production-grade AI agents development, benchmarking, model inference, and model contribution in close partnership with engineering leads.
Define and execute AI-based biological workflows, for example using agents to uncover biological insights working closely with cross-functional stakeholders.
Communicate project milestones and risks clearly to stakeholders across technical and non-technical domains.
Track impact metrics including publications, platform performance, and adoption metrics across both research and industry ecosystems.
Requirements
Advanced degree in a scientific discipline or MBA.
Experience at a leading AI-first biotech company.
Familiarity with bio-specific PM challenges.
12+ years leading complex technical programs, with 3+ years deploying AI/ML in project execution (biotech/life sciences preferred).
Demonstrated experience driving the adoption of novel technologies across diverse environments, including managing validation pipelines, documentation, user training, and feedback loops.
Proven track record in coordinating partnerships or consortia that span academic institutions, biotech, and/or commercial organizations.
Experience implementing programmatic strategies that enable sustainable growth and technology scalability.
Excellent systems thinking, with the ability to bridge scientific innovation with practical implementation and stakeholder alignment.
Strong communication skills and the ability to influence and align diverse technical and non-technical partners around scale-up strategies.
Benefits
CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Relocation support for employees who need assistance moving to the Bay Area
And more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI engineeringmodel roadmap managementproduction-grade AI developmentbenchmarkingmodel inferencebiological workflowsscalability mitigationvalidation pipelinesuser trainingfeedback loops