Biohub
Staff Data Scientist, Genomics
Redwood City, CA (Hybrid) · Staff+
Sponsorship not specified$214k-$295kDetected 50 days ago
PythonMachine LearningData EngineeringBioinformaticsResearch
About the role
- This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science.
- The role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development.
- We're a small team with significant resources and long time horizons.
Responsibilities
- Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects
- Partner deeply with ML engineers and AI researchers to co-design datasets and feedback loops that optimize model training, evaluation, and generalization.
- Lead cross-functional initiatives spanning data engineering, infrastructure, science, and product, aligning technical execution with long-term scientific goals.
- Identify and drive new data acquisition and generation opportunities, from external collaborations to internal experimental pipelines.
- Strong computational skills (Python, scientific computing libraries); Demonstrated ability to design robust, extensible data architectures and to evolve standards in fast-moving scientific domains.
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Relocation support for employees who need assistance moving
Requirements
- 8+ years of experience working with large-scale biological datasets (genomics, epigenomics, transcriptomics, proteomics, or multi-omics), including ownership of end-to-end data products.
Skills
- Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
Compensation
- The Redwood City, CA base pay range for a new hire in this role is $214,000 - $294,800.
- New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time.
- Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
- This position may be eligible to participate in Biohub's discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.
- Better Together
- As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment.
Benefits
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
Company info
- Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding.
- You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology - developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
- Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships.
- Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.
This listing is sourced directly from Biohub's careers page and normalized into a canonical job model.