Biohub
Senior / Staff Data Platform Engineer
New York, NY (Hybrid); Redwood City, CA (Hybrid) · Staff+
Sponsorship not specified$241k-$338kDetected 5 days ago
DatabricksAWSCloud PlatformsTerraformPlatform EngineeringSparkData EngineeringLLMsBioinformaticsResearch
About the role
- The role is part of the Data Engineering team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development.
- Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems.
- The question of how to represent this data for learning is one of the most important open problems in biological AI.
Responsibilities
- Design and build data pipelines that process genomic and imaging data at petabyte scale
- 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, and with our scientists to integrate public and internal data into large-scale ai-ready datasets
- 8+ years experience building reliable, operable data systems at petabyte scale
- Experience building and deploying large scale data platform solutions using infrastructure as code like Terraform or CDK
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Relocation support for employees who need assistance moving
- We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease.
- 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.
Nice to have
- Background in computational biology, bioinformatics, or life sciences and experience with genomics datasets and formats (FASTQ, BAM, VCF) or imaging formats (OME-Zarr, HDF5)
- Compensation ranges will vary based on job-related skills, level of experience, and knowledge.
- As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment.
- We're thankful to have an incredible team behind our work.
- If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
- Experience with cloud infrastructure (AWS preferred) and on prem infrastructure
- Nice to have: Background in computational biology, bioinformatics, or life sciences and experience with genomics datasets and formats (FASTQ, BAM, VCF) or imaging formats (OME-Zarr, HDF5)
Compensation
- The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $241,000-$338,000 annually.
Benefits
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
Company info
- With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.
This listing is sourced directly from Biohub's careers page and normalized into a canonical job model.