Senior Staff Data Engineer
About The Position
Biohub is a biomedical research organization bringing frontier AI models, large-scale compute, and experimental capabilities together to accelerate scientific discovery and advance understanding of human health. The Senior Staff Data Engineer will join the Data Engineering team, which owns strategy, sourcing, and implementation for data used in AI research and development. The team connects public data resources and Biohub experimental platforms to AI systems, supporting biological AI research across diverse data modalities. This role designs systems to ingest public-repository data, transform heterogeneous biological formats into AI-ready datasets, combine those resources with proprietary datasets, and deliver training data to researchers. The infrastructure will influence what biological AI models can learn. The team values code quality, operational reliability, scalable systems, and scientific understanding of data outputs. The position is hybrid, requiring onsite work for at least 60% of the working month—approximately three days per week. Specific in-office days are determined by the team’s manager.
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 (AWS preferred) and on-premises infrastructure.
- Comfort with ambiguity and ability to make progress when requirements are evolving.
- Interest in AI-native development practices and tooling.
Nice To Haves
- Background in computational biology, bioinformatics, or life sciences.
- Experience with genomics datasets and formats such as FASTQ, BAM, and VCF, or imaging formats such as OME-Zarr and HDF5.
Responsibilities
- Design and build data pipelines that process 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 tooling for data cataloging and registration to make datasets discoverable and accessible.
- Collaborate with AI Research teams to translate model requirements into data specifications.
- Collaborate with scientists to integrate public and internal data into large-scale AI-ready datasets.
- Improve pipeline reliability and observability, working toward 99%+ success rates without manual intervention.
Benefits
- Employer match on employee 401(k) contributions.
- Paid time off to volunteer at an organization of the employee’s choice.
- Funding for select family-forming benefits.
- Relocation support for employees who need assistance moving.
- May be eligible to participate in Biohub's discretionary annual performance bonus program.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
