Chan Zuckerberg Initiative

Technical Program Manager

• Drive cross-functional programs to ingest, manage, and serve large-scale sequencing datasets, ensuring timely, secure, and accurate delivery.
• Collaborate with platform scientists generating data to align on scope, timelines, and quality expectations.
• Partner with infrastructure and data engineers to build scalable, reliable ingestion pipelines that meet regulatory and security requirements.
• Work with data scientists to codify data quality and format standards, enabling seamless downstream use for model training.
• Manage complex stakeholder relationships across internal teams, CROs, and grantees to ensure successful data delivery.
• Establish program structures, roadmaps, and milestones that drive accountability and progress across teams.

Technical Program Manager, Sequencing, Science

• 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.

Principal Technical Program Manager, SciTech

Financial Planning and Analysis

• Conduct due diligence on existing and prospective investment managers, including participating in meetings and calls, and play an active role in internal discussions related to investment decisions.
• Build investment models, develop performance analyses, and monitor exposures at both the fund and portfolio level utilizing software/systems (including Excel).
• Prepare materials for internal team meetings, external manager meetings, and quarterly board meetings.
• Research financial markets, including preparing periodic updates on financial market performance and “deep dives” into specific areas of interest.
• Travel for investment-related research from time to time.
• Build relationships with investment managers and peer institutions.
• Develop a toolkit and grow as an investor through hands-on training and mentorship.

Investment Analyst

Product Manager

• Define and drive the product strategy for AI-powered biological workflows to enable in silico experimentation.
• Collaborate with scientific partners to deeply understand research needs and translate them into high-impact model applications, bridging the gap between cutting-edge AI research and its real-world application in biological discovery.
• Lead the development and deployment of workflows that bring cutting-edge models into biologists’ research practices.
• Partner with AI PMs, ML researchers, engineers, and designers to integrate models into intuitive, impactful tools.
• Help shape model roadmaps and value propositions by working closely with CZI’s ML researchers.
• Collate and translate the needs of the CZ Imaging research teams into a platform strategy.
• Serve as the voice of the biologist in product development, ensuring tools align with experimental research needs.

Principal Product Manager, Science

Data Scientist

• Contribute to a robust omics data ecosystem: build single cell data ingestion pipelines, select data formats, standards, and database schemas, and write validation tools, QC approaches, and analysis pipelines.
• Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance.
• Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team.
• Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem.

Senior Data Scientist, Genomics/Epigenetics

Project Manager

• Report to the Principal Project Manager for the Imaging Grand Challenge team and partner with the extramural funding team and cross-functional operations teams to manage projects with multiple dependencies, align stakeholders, and deliver clear outcomes.
• Execute grants knowledge management: manage and update Imaging grants databases (e.g., Airtable) to ensure accuracy, streamline data collection, and provide information to support program evaluation and decision-making.
• Maintain operational documentation: support the development and upkeep of documentation and tools (e.g., Google Drive, team wiki) that strengthen processes, knowledge-sharing, and resource planning.
• Coordinate and manage community engagement activities: support planning and execution of Imaging Grand Challenge events—including workshops, showcases, and advisory board meetings—while contributing to content development and leading communications like newsletters.
• Support grant program management: partner with the Grant Operations team and program staff to help execute extramural funding opportunities, including RFAs and targeted grant programs, ensuring milestones and timelines are met.
• Contribute to operational improvements: participate in assessing workflows, identifying obstacles, and recommending adjustments to improve consistency and efficiency across projects, keeping stakeholders engaged and informed throughout implementation.
• Bring structure, organization, and accountability to operational projects that are key to the success of the Imaging Grand Challenge's extramural funding strategy.

Project Manager, Science Program Management, Imaging

• The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.
• Across our work in Science, Education, and within our communities, we pair technology with grantmaking and collaboration to help accelerate the pace of progress toward our mission. Our Investment team provides the support needed to push this work forward.
• The investment team's goal is to manage the investment portfolio to fund CZI’s ongoing operations over the long term. The investment program pursues a “manager of managers” approach, scouring the globe to find extraordinary investment organizations that invest across a wide spectrum of styles and asset classes.
• Investment analysts will have broad exposure to all asset classes, while focusing on a subset day-to-day.
• Investment analysts enjoy early responsibility, work directly with senior staff, and are engaged in all aspects of the investment process from day one. This includes traveling to participate in meetings with world-class investment managers, closely monitoring existing investments, and helping manage and report on the portfolio as a whole.
• We are looking for intellectually curious candidates with an interest in investing, exceptional communication skills, and a desire to work collaboratively as part of a team. We value thoughtfulness, analytical rigor, and the pursuit of excellence.
• Please note that CZI also has a separate team that makes mission-aligned impact venture investments. That work sits outside of the Investments function.
• Compensation section describes salary; benefits; etc.

Analyst, Investments

Product Marketing

• Define and execute targeted marketing strategies that appeal to both biology model developers and life science researchers looking to apply ML tools. This includes leading go-to-market planning and execution including launches, user acquisition campaigns, events, and content creation.
• Craft clear, compelling messaging tailored to each audience’s needs—emphasizing platform extensibility for developers and research-enablement for biologists.
• Collaborate closely with product, engineering, and application science teams to align technical features with user goals, example workflows, and scientific use cases.
• Build partnerships and community programs that deepen engagement across academic, nonprofit, and industry circles.
• Conduct and apply user research to improve product positioning, identify market opportunities, and inform product development.
• Define and track adoption and engagement metrics, and translate insights from user feedback into suggested product improvements.

Product Marketing Manager, Science

Full-stack Engineer

• The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities.\n• Our work in science is focused on doing fundamental research to better understand human biology and building the tools and technology that move science forward to prevent disease and get to cures faster.\n• The Opportunity: Join a dynamic team within CZI’s Science Initiative focused on building user-facing applications that empower researchers through scalable, flexible, and intelligent workflows.\n• What You’ll Do: Design, develop, and maintain scalable full-stack web applications that power research workflows across scientific domains; Collaborate closely with scientists, product managers, and other engineers to build intuitive, flexible user interfaces and backend services; Integrate diverse services and tools — including ML inference pipelines, human-in-the-loop interfaces, and data management systems — into a cohesive platform; Ensure high standards of code quality, performance, and maintainability through code reviews, testing, and automation; Drive architectural decisions and contribute to long-term technical planning to support extensibility and scale; Build systems that enable researchers to bring their own data, customize processing, and adapt workflows to their unique needs; Partner with infrastructure and platform teams to ensure seamless deployment, observability, and operational stability of services.