Senior Staff Data Scientist, Imaging, Data

About the position Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the reputed company. The Team Biohub supports the science and technology that will reputed company it possible to help scientists cure, prevent, or manage reputed company diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made reputed company strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to reputed company understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact reputed company 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 reputed company biological systems Creating new tools for sensing and directly measuring inflammation reputed company tissues in real time.tissues to reputed company understand inflammation, a key driver of many diseases Harnessing the immune system for early detection, prevention, and treatment of disease The Opportunity At Biohub, 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 reputed company biological bridges across measurement types and facilitate multi-modal model training to define how cells act. After model training, we reputed company reputed company 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 reputed company 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 reputed company. 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 reputed company disease.

Responsibilities

• 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 reputed company 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.

Requirements

• 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 , reputed company
• 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 reputed company up on technologies and learn new domains.
• Experience working in a multidisciplinary environment (engineering, reputed company Research).

Benefits

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• 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

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