Overview 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. The Chan Zuckerberg Initiative, together with its Biohub Network, supports the science and technology that will enable scientists to cure, prevent, or manage diseases. We focus on fundamental research to better understand human biology and on developing tools and technology that move science forward to prevent disease and accelerate cures. To unlock the mysteries of cells and their interactions, we pursue four grand challenges: building an AI-based virtual cell model, developing novel imaging technologies, creating tools for sensing inflammation in real time, and harnessing the immune system for early disease detection, prevention, and treatment. Opportunity and Data Ecosystem At CZI, we generate unprecedented scientific datasets that drive biological modeling innovation: Billions of standardized cells of single-cell transcriptomic data 10s of thousands of donor-matched DNA and RNA samples Peta-scale static and dynamic imaging datasets Terabytes-scale mass spectrometry datasets Diverse, large multi-modal datasets enabling multi-modal model training Data products are made available through public resources like CELLxGENE Discover and the CryoET Portal to support scientific discovery.

Role: Senior Staff Data Scientist, Imaging As a Senior Staff Data Scientist, you will lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level. You will define data needs, format standards, analysis approaches, quality metrics, and our technical strategy for systems to ingest, transform, validate, and deploy data products. Success means delivering high-quality, usable datasets that address modeling challenges and accelerate scientific progress. You will help build the data foundation to transform our understanding of human biology and move toward curing, preventing, and managing disease.

What You’ll Do Define the technical strategy for a robust imaging data ecosystem and build data ingestion pipelines, define data formats, write validation tools, QC metrics, 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.

What You’ll Bring 10+ years of experience with large-scale biological imaging data Demonstrated delivery of multiple large biological data products Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis Experience with processing and orchestration pipelines (e.g., Argo Workflows, Databricks) Strong fundamentals in statistical reasoning and machine learning Experience with biological data analysis and QC best practices Excellent written and verbal communication skills Enthusiasm to ramp up on technologies and learn new domains Experience working in a multidisciplinary environment (engineering, product, AI Research)

Compensation The Redwood City, CA base pay range for a new hire in this role is $241,000 - $331,100. New hires are typically hired into the lower portion of the range, with growth over time based on skills and experience as evaluated during the interview process.

Work Arrangement and Benefits This role is hybrid and onsite for at least 60% of the working month (approximately 3 days a week). Exact schedule is determined by the hiring manager and communicated during the interview process. Benefits for the Whole You Employer match on employee 401(k) contributions Annual benefits for housing, student loan repayment, childcare, commuter costs, or other life needs Life of Service Gifts to support the mission Paid time off to volunteer Funding for select family-forming benefits Relocation support to the Bay Area If your experience doesn’t perfectly align with every qualification, we still encourage you to apply as you may be a strong fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

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