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Spatial Transcriptomics Jobs in California (NOW HIRING)

These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more. This role sits at the center of our technical stack. You will architect Nextflow ...

Experience with single-cell sequencing and spatial transcriptomics is also valuable. Histology experience is preferred but is considered more flexible than NGS experience. The candidate should at ...

... cell and spatial transcriptomics, multiomics and related technologies. The successful applicant will: 1) play a key role in developing and rigorously testing new methods in the above areas; 2) ...

Prepare and process samples for spatial omics platforms, including multiplexed protein imaging and spatial transcriptomics, with both RNA- and protein-based tagging approaches * Develop, optimize ...

Prepare and process samples for spatial omics platforms, including multiplexed protein imaging and spatial transcriptomics, with both RNA- and protein-based tagging approaches * Develop, optimize ...

Prepare and process samples for spatial omics platforms, including multiplexed protein imaging and spatial transcriptomics, with both RNA- and protein-based tagging approaches * Develop, optimize ...

Director Pathology

San Diego, CA · Hybrid

$204K - $379K/yr

Ability to synthesize complex molecular datasets (RNA-seq, proteomics, spatial transcriptomics) in the context of tissue biology and pathology. Strong cross-functional influence and comfort operating ...

Showing results 21-40

Spatial Transcriptomics information

What is spatial transcriptomics?

Spatial transcriptomics is an advanced technique that allows scientists to measure gene expression within the spatial context of tissue samples. Unlike traditional RNA sequencing, which loses information about where each gene is expressed, spatial transcriptomics preserves the physical location of gene activity in tissues. This helps researchers better understand how cells function within their native environments and interact with neighboring cells, which is especially valuable in fields like cancer research, neuroscience, and developmental biology. The method combines microscopy, molecular biology, and computational analysis to produce detailed maps of gene expression.

What are some common challenges faced by professionals working in spatial transcriptomics, and how can they be addressed?

Professionals in spatial transcriptomics often encounter challenges related to handling large, complex datasets and integrating spatial information with gene expression data. Ensuring high-quality sample preparation and mastering advanced imaging or sequencing technologies are also frequent hurdles. These challenges can be addressed by collaborating closely with multidisciplinary teams—including bioinformaticians, molecular biologists, and imaging specialists—and staying up-to-date with the latest software tools and protocols. Continuous learning and effective communication within the team are key to overcoming technical and analytical obstacles in this rapidly evolving field.

What are the key skills and qualifications needed to thrive as a spatial transcriptomics scientist?

To thrive as a Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with spatial transcriptomics platforms (such as 10x Genomics Visium), next-generation sequencing (NGS) technologies, and data analysis tools like R or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating on interdisciplinary research projects. These skills and qualities are crucial for generating high-quality spatial gene expression data and translating findings into meaningful biological insights.
What cities in California are hiring for Spatial Transcriptomics jobs? Cities in California with the most Spatial Transcriptomics job openings:
Infographic showing various Spatial Transcriptomics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, 7% Hybrid, and 9% Remote job distribution.

Scientist 3- Translational Medicine (Multiple Sclerosis & TR focused)

Genentech

South San Francisco, CA

$100K - $186K/yr

Full-time

Posted 28 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical


Job description

We advance science so that we all have more time with the people we love.

The Translational Medicine OMNI department at Genentech provides the scientific and strategic framework to inform clinical development across Ophthalmology, Metabolism, Neuroscience, and Immunology. Our research encompasses biomarker discovery, personalized healthcare strategies, and clinical translational research to study the molecular pathways driving disease. Within Multiple Sclerosis (MS), our team leverages human clinical biospecimens, deep molecular phenotyping, and computational approaches to evaluate disease heterogeneity, advance novel target understanding, and ensure that every clinical decision is grounded in robust translational science.

The Opportunity:

We are seeking a talented and highly motivated Scientist 3 to join Genentech's Translational Medicine OMNI team in South San Francisco. The successful candidate will contribute to the MS translational research program by integrating human clinical data with advanced molecular profiling and omics technologies to drive biomarker discovery and disease biology insights. This role sits at the intersection of clinical development and translational science - the ideal candidate is comfortable working with clinical biospecimens, interpreting high-dimensional datasets, and contributing findings that directly inform clinical trial design and molecule progression.

As an integral member of our dynamic team, you will:

  • Contribute to the discovery and validation of MS disease biomarkers and therapeutic targets by integrating human clinical sample data with molecular phenotyping and multi-omics approaches.

  • Design and execute translational research experiments using clinical biospecimens (e.g., CSF, PBMCs, whole blood, serum) to investigate mechanisms of disease heterogeneity, target engagement, and disease progression relevant to MS.

  • Analyze and interpret high-dimensional datasets from clinical samples, including single-cell RNA-seq, CITE-seq, bulk RNA-seq, spatial transcriptomics, and/or proteomics, to generate translational insights that support clinical development.

  • Support biomarker strategy and execution for MS clinical trials, including evaluation of pharmacodynamic markers, patient stratification approaches, and disease-relevant endpoints.

  • Collaborate cross-functionally with Clinical Development, Bioanalytical Assay Development, Biostatistics, and Computational Biology to build cohesive biological narratives from clinical trial data.

  • Contribute to the development of clinical study documents, including biomarker sections of Clinical Protocols, Investigator's Brochures, and internal governance materials.

  • Communicate research findings through internal presentations, project team updates, and contributions to peer-reviewed publications and external scientific conferences. Partner with external collaborators, academic institutions, and consortia to advance MS translational research programs.

Who You Are

  • Hold a PhD in Neuroscience, Neuroimmunology, Immunology, Functional Genomics, or a closely related field, with a strong record of scientific achievement with at least 3 years of relevant postdoctoral or industry experience in translational research, MS biology, or neuroimmunology.

  • Possess hands-on experience working with human clinical biospecimens (e.g., CSF, PBMCs, whole blood) and familiarity with the translational research workflows associated with clinical sample analysis.

  • Demonstrate proficiency in multi-omics technologies and familiarity with analysis and interpretation of high-dimensional datasets, such as scRNA-seq, CITE-seq, spatial transcriptomics, bulk RNA-seq, or proteomics.

  • Have working knowledge of biomarker development principles and an ability to connect molecular findings to clinical questions such as dose selection, patient stratification, or target engagement.

  • Are able to independently design, execute, and interpret translational experiments with strong scientific rigor and attention to data quality.

  • Exhibit strong written and oral communication skills, as evidenced by publications and/or scientific presentations. Demonstrate effective organization, ability to manage multiple priorities, and comfort working in a fast-paced, cross-functional environment across global teams.

  • Be collaborative, intellectually curious, and motivated by the challenge of translating complex biology into clinical insight for patients with MS.

Relocation benefits are not available for this posting.

The expected salary range for this position based on the primary location of California is $100,400 -186,400. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.


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About Genentech

Sourced by ZipRecruiter

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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