Computational Scientist 3, Spatial Omics & Computational Pathology

Responsibilities

• Serve as the Technical Lead for computer vision, AI/ML, and multiplex imaging projects, architecting pipelines for whole-slide images and high-dimensional spatial omics data.
• Design and implement cutting-edge machine learning algorithms, including foundation models and generative architectures, for image segmentation and predictive modeling.
• Develop multi-modal representation learning frameworks to fuse morphological features with molecular data (transcriptomics/proteomics).
• Engineer scalable imaging data infrastructure for large-scale storage on HPC and cloud environments.
• Collaborate with pathologists and researchers to interpret data, visualize results, and contribute to experimental design.

Requirements

• Ph.D. in Computational Biology, Computer Science, Machine Learning, Imaging Science, Data Science, or a related highly quantitative field (or a Master's with 3+ years of experience).
• Demonstrated experience in computer vision, deep learning, or image processing, specifically with tissue-based or high-dimensional imaging data.
• Deep proficiency in Python software engineering.
• Extensive hands-on experience with modern machine learning frameworks such as PyTorch, TensorFlow, or JAX.

Preferred Qualifications

• Experience applying machine learning to single-cell spatial transcriptomics or spatial proteomics analysis (e.g., 10X Genomics Xenium, Visium).
• Hands-on experience with multi-modal data integration combining spatial transcriptomics, proteomics, and histology datasets.
• Familiarity with the scverse ecosystem (e.g., Scanpy, Squidpy, SpatialData) and computer vision libraries like OpenCV or scikit-image.
• Solid understanding of tissue histology, cell biology, and tumor microenvironments.
• Experience developing agentic AI systems or LLM-driven autonomous workflows for biological datasets.

Benefits

• Relocation benefits are available for this position.
• Competitive salary range ($129,200 - $240,000 based on location and experience).
• Discretionary annual bonus opportunities.
• Comprehensive benefits package as detailed by Genentech/Roche.

About the Company

Genentech, a member of the Roche group, is a pioneer in the biotechnology industry. We are dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases.