Senior/Staff Data Engineer

About the Company

Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it.

Responsibilities

• Design and build data pipelines that process genomic and imaging data at petabyte scale
• Solve performance and bandwidth challenges with creative engineering
• Build agent-based systems for automated dataset curation, quality control, and workflow generation
• Create tooling for data cataloging and registration that makes datasets discoverable and accessible
• Collaborate with AI Research teams to translate model requirements into data specifications
• Improve pipeline reliability and observability

Requirements

• 8+ years experience building reliable, operable data systems at petabyte scale
• Strong software engineering fundamentals
• Experience deploying distributed computing frameworks like Databricks, Spark, or Ray
• Experience building and deploying large scale data platform solutions using infrastructure as code like Terraform or CDK
• Experience with cloud infrastructure (AWS preferred) and on prem infrastructure
• Comfort with ambiguity
• Interest in AI-native development practices and tooling

Preferred Qualifications

• Background in computational biology, bioinformatics, or life sciences
• Experience with genomics datasets and formats (FASTQ, BAM, VCF)
• Experience with imaging formats (OME-Zarr, HDF5)

Benefits

• Generous employer match on 401(k) contributions
• Paid time off to volunteer
• Funding for select family-forming benefits
• Relocation support