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Spatial Transcriptomics Omics Jobs in California

Valius Sciences

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

Analyze multi-modal omics data. Apply cutting-edge techniques, including scRNAseq, spatial transcriptomics, and long-read sequencing, to derive meaningful insights from complex patient datasets.

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Spatial Transcriptomics Omics information

What are the key skills and qualifications needed to thrive as a Spatial Transcriptomics Specialist, and why are they important?

To thrive as a Spatial Transcriptomics Specialist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with high-throughput sequencing platforms, spatial omics technologies, and data analysis tools like R or Python is essential, along with experience using laboratory automation systems. Attention to detail, problem-solving abilities, and effective interdisciplinary communication are crucial soft skills for this role. These skills ensure accurate experimental design, robust data interpretation, and successful collaboration in cutting-edge biological research.

What is the difference between Spatial Transcriptomics Omics vs Spatial Transcriptomics Technician?

AspectSpatial Transcriptomics OmicsSpatial Transcriptomics Technician
Required CredentialsAdvanced degrees (Master's/PhD) in molecular biology, genomics, or related fieldsAssociate's or Bachelor's degree in biology, biotechnology, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsLaboratories, research facilities, biotech companies
Industry UsageResearch and development, data analysis, method developmentSample preparation, data collection, equipment operation

Spatial Transcriptomics Omics professionals focus on data analysis, method development, and research, often requiring advanced degrees. In contrast, Spatial Transcriptomics Technicians handle sample preparation and operate equipment, typically with a technical diploma or bachelor's degree. Both roles are essential in the spatial transcriptomics industry but differ in responsibilities and qualifications.

What are some common challenges faced by professionals in Spatial Transcriptomics Omics, and how can they be addressed?

Professionals working in Spatial Transcriptomics Omics often encounter challenges such as managing and interpreting large, complex datasets, integrating multi-omics data, and keeping pace with rapidly evolving technologies. Effective collaboration with bioinformaticians, pathologists, and laboratory technicians is essential to ensure high-quality results. Staying updated with the latest analytical tools and participating in cross-disciplinary training can help overcome these challenges and enhance both research quality and career growth.

What is spatial transcriptomics in omics research?

Spatial transcriptomics is a cutting-edge technology in the field of omics that allows researchers to measure and map gene expression within the spatial context of intact tissue sections. This means scientists can see which genes are active in specific locations of a tissue, preserving the spatial relationships between cells. By combining spatial information with transcriptomic data, researchers gain deeper insights into tissue organization, cellular interactions, and disease mechanisms. This approach is especially valuable for understanding complex tissues like tumors or brain structures.
What are popular job titles related to Spatial Transcriptomics Omics jobs in California? For Spatial Transcriptomics Omics jobs in California, the most frequently searched job titles are:
What job categories do people searching Spatial Transcriptomics Omics jobs in California look for? The top searched job categories for Spatial Transcriptomics Omics jobs in California are:
What cities in California are hiring for Spatial Transcriptomics Omics jobs? Cities in California with the most Spatial Transcriptomics Omics job openings:
Spatial Transcriptomics Omics jobs near you
Infographic showing various Spatial Transcriptomics Omics job openings in California as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 4% Part Time, 1% Temporary, 1% Contract, and 4% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Computational Scientist 3, Spatial Omics & Computational Pathology

Computational Scientist 3, Spatial Omics & Computational Pathology

Genentech

South San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 74 rated pharmaceutical

Job description

Job Summary:
Genentech is at the forefront of advancing spatial omics capabilities within their Research Pathology Department. They are seeking a highly skilled Computational Scientist to lead projects at the intersection of computer vision, advanced machine learning, and computational pathology, focusing on developing models and AI pipelines for spatial omics initiatives.
Responsibilities:
• Serve as the Technical Lead for computer vision, AI/ML, and multiplex imaging projects, architecting pipelines for standard whole-slide images (H&E, IHC) and high-dimensional spatial omics data.
• Design and implement cutting-edge machine learning algorithms, including foundation models and generative architectures, for image segmentation, feature extraction, and predictive modeling.
• Develop advanced multi-modal representation learning frameworks to harmonize disparate modalities—fusing morphological features with molecular data (transcriptomics/proteomics) to uncover spatial niches and cell-cell interactions.
• Engineer scalable imaging data infrastructure for large-scale image storage (e.g., OME-ZARR, OME-TIFF, SpatialData) on HPC and cloud environments.
• Embed biological priors—such as known metabolic pathways or spatial knowledge graphs—directly into the mathematical design of the AI models.
• Collaborate closely with pathologists, wet-lab, and dry-lab researchers to interpret data, visualize results, and contribute to upstream experimental design.
Qualifications:
Required:
• Ph.D in Computational Biology, Computer Science, Machine Learning, Imaging Science, Data Science, or a related highly quantitative field or a Masters Degree in these fields with 3+ years of experience may be considered.
• Demonstrated experience in computer vision, deep learning, or image processing, specifically with tissue-based or high-dimensional imaging data.
• Strong foundation in digital/computational pathology workflows and/or advanced machine learning (e.g., probabilistic modeling, representation learning, generative modeling).
• Deep proficiency in Python software engineering and extensive hands-on experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow, JAX).
• Excellent problem-solving skills with the ability to work independently as a technical lead in a multidisciplinary environment.
Preferred:
• Demonstrated experience applying machine learning to single-cell spatial transcriptomics and/or spatial proteomics analysis (e.g., 10X Genomics Xenium, Visium, Lunaphore COMET).
• Hands-on experience with multi-modal data integration, specifically combining spatial transcriptomics, proteomics, and histology datasets.
• Familiarity with the scverse ecosystem (e.g., Scanpy, Squidpy, SpatialData, scVI), computer vision libraries (OpenCV, scikit-image), and modern cloud infrastructure.
• Solid understanding of tissue histology, cell biology, and tumor microenvironments to inform model architecture.
• Experience developing agentic AI systems, LLM-driven autonomous workflows, or advanced AI-oriented tools for complex biological datasets.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Genentech

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A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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