The Chan Zuckerberg Initiative (CZI) is generating unprecedented scientific datasets to drive biological modeling innovation and accelerate scientific progress towards curing, preventing, and managing all diseases by the end of the century. The Senior Data Scientist will lead the creation of groundbreaking omics datasets that decode cellular function, describe development, and predict responses to genetic or environmental changes, ultimately building the data foundation to transform our understanding of human biology.
Requirements
- 5+ years of experience with large scale genomic and/or epigenomic datasets.
- 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.
Responsibilities
- 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.
- Define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products.
Other
- Demonstrated delivery of large biological data products.
- 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).
- This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week.
