Biohub
Sr Staff Data Scientist, Virtual Biology Initiative
New York, NY (Hybrid); Redwood City, CA (Hybrid) · Staff+
Sponsorship not specified$241k-$331kDetected 50 days ago
AlgorithmsMachine LearningData EngineeringStatisticsResearch
About the role
- This initiative will bring together leading institutions to generate the multi-modal biological data, at unprecedented scale, that will power the next generation of AI models for biology while producing datasets of unprecedented size.
- Our data science team defines the algorithms and processing approaches that turn raw biological measurements into rich representations models can actually learn from.
Responsibilities
- Develop, deploy 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 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 consortium partnerships to internal experimental pipelines
- 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
- Strong expertise in data science and statistical modeling
- 12+ years of experience (or PhD + 7 years) working with large-scale biological datasets, 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.
- The Opportunity
- Both the scale and domain are active research areas.
- These questions don't have established answers.
Compensation
- The Redwood City, CA & New York City, NY base pay range for a new hire in this role is $241,000.00 - $331,100.00.
- 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.
- As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment.
- This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager.
- The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
Benefits
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Set technical vision and strategy for the design of data representations and tokenization strategies across biological data types-including imaging, sequencing, and multimodal data-that enable novel model architectures
- Experience with tokenization strategies for non-text data (images, sequences, graphs, time series) or with creating data representations and feature engineering for machine learning in scientific or biological contexts
Company info
- Biohub's data organization is responsible for producing biologically informative, petabyte-scale, AI-ready datasets for frontier models of cell biology.
- Our work spans genomics, imaging, and proteomics, and we're building the data systems that will enable a new generation of biological AI.
- The team consists of data engineering, data science, and technical program management.
- We operate with a flat structure that emphasizes strong IC ownership.
- We're solving hard problems at the intersection of scientific strategy, large-scale data infrastructure, and foundation model training.
This listing is sourced directly from Biohub's careers page and normalized into a canonical job model.