Senior Staff Data Scientist, Imaging, Science

The Team
CZI and its Biohub Network supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. 

Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:

• Building an AI-based virtual cell model to predict and understand cellular behavior
• Developing novel imaging technologies to map, measure and model complex biological systems  
• Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases
• Harnessing the immune system for early detection, prevention, and treatment of disease

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. Join us in accelerating science.

The Opportunity 

At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation:

• Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations
• 10s of thousands of donor-matched DNA & RNA samples
• PB-scale static and dynamic imaging datasets
• TB-scale mass spectrometry datasets
• Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act.

After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery.

As a Senior Staff Data Scientist, you’ll lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you’ll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products. 

Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all 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, such as 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).