The Chan Zuckerberg Initiative is looking to solve some of society’s toughest challenges by building a more inclusive, just, and healthy future for everyone.
Requirements
- Understanding of AWS services (S3, RDS, EKS, Batch, etc.)
- Proficiency in Python, awareness of scientific computing libraries, such as NumPy and SciPy
- Strong fundamentals in systems design, data structures, algorithms, and object-oriented programming principles
- Experience with Terraform and AWS infrastructure
- Experience with TileDB
- Strong problem-solving and analytical skills
- Experience with data partitioning, indexing, and compression
Responsibilities
- Develop end-to-end, robust data pipelines that seamlessly integrate data ingestion, preprocessing, feature engineering, model training, and deployment.
- Implement scalable data warehousing solutions to handle massive volumes of single-cell transcriptomics data and imaging data.
- Ensure data security and compliance with industry standards and regulations.
- Implement optimization strategies such as data partitioning, indexing, and compression to enhance query performance and reduce computational costs.
- Create user-friendly APIs to enable researchers and scientists to easily access and explore the curated data.
- Enhance the searchability and findability of scientific datasets.
- Develop scalable, maintainable, and testable software systems and participate in team conversations and efforts on engineering excellence.
Other
- 2+ years of relevant engineering technical experience
- Computer Science Engineering degree
- Excellent written and verbal communication skills
- Enthusiasm to ramp up on technologies and learn a new science domain
- Must be self-driven and comfortable supporting data needs of multiple systems and products
- Annual benefit for employees that can be used most meaningfully for them and their families
- 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 to the Bay Area
