Staff Data Scientist, Imaging

About the role

Biohub is an initiative dedicated to accelerating scientific discovery through the integration of frontier AI models, massive compute, and experimental capabilities. The Data team focuses on data strategy, sourcing, and implementation for AI research and development.

Responsibilities

• Design data representations and tokenization strategies for imaging data that enable novel model architectures
• Coordinate teams to translate biological structure into learnable representations, defining priorities and appropriate structures for metadata and data accessible to information models
• Work across teams to guide data acquisition priorities, define quality criteria, and assess external datasets from a representation perspective
• Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects
• Evaluate representation choices' impact on model performance, identifying captured or lost biological signals, and iterating to improve

Requirements

• PhD in computational biology, bioinformatics, or a quantitative biological field
• Experience with tokenization strategies for non-text data (images, sequences, graphs, time series)
• Track record of novel methodological contributions (publications, open-source tools, or production systems)
• Familiarity with biological foundation models (ESM, scGPT, or similar)
• Deep understanding of imaging data, their underlying data characteristics, and how to transform raw data into ai-ready datasets
• Experience designing data representations or feature engineering for machine learning, ideally in scientific or biological contexts
• Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning
• Strong computational skills (Python, scientific computing libraries); comfort working with large-scale datasets
• Creative, first-principles thinking about how to structure data for learning

Qualifications

• PhD in computational biology, bioinformatics, or a quantitative biological field
• Experience with tokenization strategies for non-text data (images, sequences, graphs, time series)
• Track record of novel methodological contributions (publications, open-source tools, or production systems)
• Familiarity with biological foundation models (ESM, scGPT, or similar)
• Deep understanding of imaging data, their underlying data characteristics, and how to transform raw data into ai-ready datasets
• Experience designing data representations or feature engineering for machine learning, ideally in scientific or biological contexts
• Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning
• Strong computational skills (Python, scientific computing libraries); comfort working with large-scale datasets
• Creative, first-principles thinking about how to structure data for learning

Skills

• PhD in computational biology, bioinformatics, or a quantitative biological field
• Experience with tokenization strategies for non-text data (images, sequences, graphs, time series)
• Track record of novel methodological contributions (publications, open-source tools, or production systems)
• Familiarity with biological foundation models (ESM, scGPT, or similar)
• Deep understanding of imaging data, their underlying data characteristics, and how to transform raw data into ai-ready datasets
• Experience designing data representations or feature engineering for machine learning, ideally in scientific or biological contexts
• Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning
• Strong computational skills (Python, scientific computing libraries); comfort working with large-scale datasets
• Creative, first-principles thinking about how to structure data for learning

Benefits

We offer a wide range of benefits to support our employees, including a generous employer match on employee 401(k) contributions, paid time off to volunteer, funding for select family-forming benefits, and relocation support.

Pay

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.

Schedule

This position is a hybrid role 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.