Computational Scientist 3, Spatial Omics & Computational Pathology

Roche/Genentech

South San Francisco, California, United States
Base: $129,200 - $240,000; bonus/equity: discretio...
Computer vision and deep learning expertise
Python software engineering proficiency
Digital pathology workflow experience
The role focuses on developing cutting-edge machine learning algorithms and AI pipelines to power spatial omics initiatives within the Research Pathology Department

Job Summary

  • The role focuses on developing cutting-edge machine learning algorithms and AI pipelines to power spatial omics initiatives within the Research Pathology Department.
  • Candidates will architect scalable imaging data infrastructure and fuse morphological features with molecular data to uncover spatial niches and cell-cell interactions.
  • Relocation benefits are available for this position, which is based in South San Francisco, CA.

Matching Summary

The role focuses on developing cutting-edge machine learning algorithms and AI pipelines to power spatial omics initiatives within the Research Pathology Department.

Salary

Base: $129,200 - $240,000; Bonus/Equity: Discretionary annual bonus available; Benefits: Standard company benefits package included

Skills & Requirements

Must-have

  • Computer vision and deep learning expertise
  • Python software engineering proficiency
  • Digital pathology workflow experience
  • Machine learning framework knowledge (PyTorch/TensorFlow)
  • Image segmentation and feature extraction skills

Nice-to-have

  • Spatial transcriptomics analysis experience
  • Multi-modal data integration capabilities
  • Generative modeling and foundation models
  • Cloud infrastructure and HPC environment familiarity
  • Biological priors in AI model design

Key Requirements

  • Ph.D. or Masters in Computational Biology, CS, ML, or related field
  • 3+ years of experience in computer vision or image processing
  • Deep proficiency in Python and modern ML frameworks

Work Rights

Not specified

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