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 Chan Zuckerberg Initiative, by achieving four grand challenges that will unlock the mysteries of the cell and how cells interact within systems.
Requirements
- 10+ years of experience with large scale high throughput biological data (single cell sequencing, immune receptor profiling, mass spectrometry).
- Demonstrated ability to deliver 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 (scientific platforms, engineering, product, AI Research)
Responsibilities
- Contribute the tools required for a robust 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 Platform Scientists, ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to improve our biological understanding of inflammation.
- Work closely with Platform Scientists to identify technical variables and devise approaches to harmonize data across generation sites to enable joint analysis.
- Discover and define new data generation opportunities, and manage the delivery of those data products to our scientific teams.
- Lead the creation of groundbreaking datasets that power our AI/ML efforts within and across our scientific grand challenges.
- Define data needs, format standards, analysis approaches and quality metrics and build pipelines to ingest, transform, and validate data products that form the foundation of our experiments.
- Help publish datasets through public resources like CELLxGENE Discover, the CryoET Portal, and the Virtual Cell Platform.
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.
