Genentech · 17 hours ago
Computational Scientist 3, Spatial Omics
South San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$129K/yr - $240K/yrGenentech is a leader in the biotechnology industry, committed to advancing treatments for diseases through innovative research. They are looking for a Spatial Omics Computational Scientist to lead collaborative research projects, develop analytical strategies for high-dimensional spatial datasets, and integrate various imaging and molecular data to provide actionable biological insights.
BiotechnologyLife ScienceManufacturing
Responsibilities
Serve as Technical Lead for collaborative research projects, translating abstract biological questions from scientific stakeholders into rigorous computational strategies and executable analysis plans
Architect and execute complex, end-to-end analytical strategies for high-dimensional spatial datasets (e.g., 10x Xenium, Visium HD, Lunaphore COMET, Akoya), moving from raw image processing to actionable biological insight
Develop integration frameworks to co-register and harmonize disparate modalities—fusing morphological features (H&E) with molecular data (transcriptomics/proteomics) to uncover spatial niches and cell-cell interactions
Develop, optimize, and apply machine learning techniques for quality control, image segmentation, feature extraction, data integration, predictive modeling, and spatial analysis
Engineer and optimize imaging data infrastructure, including workflows for large-scale image storage (e.g., OME-ZARR, OME-TIFF, SpatialData) and associated visualization tools
Collaborate closely with pathologists, wet-lab, and dry-lab researchers to interpret data, visualize results, and contribute to upstream experimental design
Provide training and consultation to the wider research community on spatial omics data analysis tools and workflows to democratize access to these technologies
Stay current with the latest advancements in spatial omics technologies, tissue imaging, and computational methods to drive continuous innovation within the team
Qualification
Required
Advanced degree (M.S. or Ph.D.) in Computational Biology, Bioinformatics, Data Science, Imaging Science, Computer Science, or a related field
Proficiency in Python software engineering, including experience with Nextflow or similar workflow orchestrators for building reproducible pipelines
Demonstrated image processing experience, specifically with high-dimensional or tissue-based imaging data
Experience with machine learning techniques and modern frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Expertise in statistical analysis and structured data analysis (e.g., high-dimensional data reduction, validation, and statistics) and data visualization
Excellent problem-solving skills with the ability to work independently as a technical lead and collaboratively in a multidisciplinary environment
Strong verbal and written communication skills to effectively present findings to diverse audiences and prepare technical reports
Preferred
Demonstrated expertise in single-cell spatial transcriptomics and/or spatial proteomics analysis
Hands-on experience with specific spatial omics platforms, including 10X Genomics Xenium, Visium, and Lunaphore COMET
Hands-on experience with multi-modal data integration, specifically combining spatial transcriptomics, proteomics, and histology datasets
Experience handling large-scale image and single-cell spatial data structures
Familiarity with the scverse ecosystem (e.g., Scanpy, Squidpy, SpatialData, scVI) as well as computer vision libraries like OpenCV and scikit-image
Understanding of infrastructure for managing large-scale imaging data, including AWS cloud-based storage and distributed computing
Knowledge of computational pathology or digital pathology workflows and proficiency in tissue-based image processing
Solid understanding of tissue histology, cell biology, and tumor microenvironments
Familiarity with tissue imaging techniques such as multiplexed immunofluorescence, in situ hybridization, or related methods
Benefits
Relocation benefits are available for this posting.
A discretionary annual bonus may be available based on individual and Company performance.
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
Founded in 1976
10001+ employees
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Ashley Magargee
Chief Executive Officer
Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
Recent News
2026-01-23
Genetic Engineering News
2026-01-23
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