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Spatial Transcriptomics Jobs in San Jose, CA (NOW HIRING)

nudge

Histotechnologist

San Francisco, CA · On-site

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 ...

Nudge

Histotechnologist

San Francisco, CA · On-site

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 ...

Arc Institute

Scientist, Bioinformatics

Palo Alto, CA · On-site

... omics, Perturb-seq, spatial transcriptomics), public and generated in-house. • Process sequencing data as they come off instruments, monitoring runs, producing actionable results, and ...

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Spatial Transcriptomics information

See San Jose, CA salary details

$57.4K

$238.5K

$468.8K

How much do spatial transcriptomics jobs pay per year?

As of Jul 17, 2026, the average yearly pay for spatial transcriptomics in San Jose, CA is $238,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $468,800.00 per year, depending on experience, location, and employer.

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, and why are they important?

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 are popular job titles related to Spatial Transcriptomics jobs in San Jose, CA? For Spatial Transcriptomics jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Spatial Transcriptomics jobs in San Jose, CA look for? The top searched job categories for Spatial Transcriptomics jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Spatial Transcriptomics jobs? Cities near San Jose, CA with the most Spatial Transcriptomics job openings:
Spatial Transcriptomics jobs near you
Junior or Assistant Specialist- Cho/Cheng Lab

Junior or Assistant Specialist- Cho/Cheng Lab

UCSF

San Francisco, CA • On-site

Other

Re-posted 10 days ago

University Of California San Francisco rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

32nd of 555 rated colleges and universities

Job description

Junior or Assistant Specialist- Cho/Cheng Lab

The Raymond Cho/Jeffrey Cheng UCSF Dermatology lab is actively seeking a highly motivated research specialist at the junior or assistant level. Our laboratory focuses on developing precision medicine approaches to improve treatment of inflammatory skin disease. We study human and mouse model inflammatory skin diseases on the single-cell level (single cell RNA-sequencing, spatial transcriptomics, and highly multiplexed immunofluorescence) to further molecular classification and treatment response prediction.

We expect the appointee to participate in and receive authorship in scientific articles and to contribute to the intellectual environment of the laboratory, in addition to supporting and managing the lab. He/she must be able to plan, conduct, and oversee experiments, independently develop and optimize experimental protocols, and interpret data and results.

Required Qualifications: Specialists appointed at the junior rank must possess a baccalaureate degree (or equivalent degree) or at least four years of research experience. Specialists appointed at the Assistant rank must possess a master's degree or a baccalaureate degree with three or more years of research experience. 1.5 year commitment to working in the lab. Excellent organizational and written/oral communication skills. Strong analytical and problem-solving abilities. Attention to detail and accurate record keeping. Ability to work well independently and collaboratively with other lab members. Previous research experience of at least 6 months. Candidates are required to meet the required qualifications at the time of hire. Candidate's CV and/or cover letter must state qualifications (or if pending) upon submission.

Preferred Qualifications: Expertise in immunology assays (such as flow cytometry, stimulation assays, ELISA) Experience with computer programming/bioinformatics

Please apply online, with a CV and cover letter. Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Salary and rank will be commensurate with the applicants experience and training. A reasonable estimate for this position is $55,000 - $70,700.

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