9 days ago
Base Salary
$270k - $300k/yr
Responsibilities
- Design and build data pipelines processing genomic and imaging data at petabyte scale.
- Solve performance and bandwidth challenges through creative engineering.
- Build agent-based systems for automated dataset curation, quality control, and workflow generation.
- Create data cataloging and registration tools to improve dataset discoverability and accessibility.
- Translate AI Research model requirements into data specifications and integrate public and internal data into large-scale AI-ready datasets.
- Improve pipeline reliability and observability toward 99%+ success rates without manual intervention.
Requirements
- 12+ years of experience building reliable, operable data systems at petabyte scale.
- Strong software engineering fundamentals.
- Experience deploying distributed computing frameworks such as Databricks, Spark, or Ray for large-scale data processing.
- Experience building and deploying large-scale data platform solutions using infrastructure as code such as Terraform or CDK.
- Experience with cloud infrastructure, preferably AWS, and on-premises infrastructure.
- Ability to work through ambiguity and evolving requirements.
- Interest in AI-native development practices and tooling.
- Preferred: background in computational biology, bioinformatics, or life sciences, plus experience with genomics datasets and formats such as FASTQ, BAM, and VCF or imaging formats such as OME-Zarr and HDF5.
Benefits
- Generous employer match on 401(k) contributions.
- Paid time off to volunteer at an organization of choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving.
- Hybrid work arrangement requiring onsite work at least 60% of the working month, approximately three days per week, with specific days set by the manager.
- Eligible roles may participate in a discretionary annual performance bonus program.
Tech Stack
Categories
Data Engineering
About Biohub
Biohub is a nonprofit research organization in Redwood City that builds AI-enabled biology platforms, high-throughput imaging, and lab capabilities to advance disease research for the global scientific community. Funded by the Chan Zuckerberg Initiative as part of the Chan Zuckerberg Biohub Network, it collaborates with leading universities and operates shared facilities rather than selling commercial products. Programs span cell atlases, genomics, and infectious disease, and include an aquatic model-organism facility supporting imaging-focused studies.