Biohub is looking to cure or prevent disease through its 501c3 medical research organization by better understanding human biology and addressing four grand challenges: building an AI-based virtual cell model, developing novel imaging technologies, creating new tools for sensing and measuring inflammation, and harnessing the immune system for early detection, prevention, and treatment of disease.
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, Databricks
- Strong fundamentals in statistical reasoning and machine learning.
- Experience with biological data analysis and QC best practices
- Experience working in a multidisciplinary environment (engineering, product, AI Research)
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 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.
- 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.
- Define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products.
- Deliver high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress.
Other
- Excellent written and verbal communication skills.
- Enthusiasm to ramp up on technologies and learn new domains.
- Hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
