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Spatial Transcriptomics Jobs in Pleasanton, CA (NOW HIRING)

Transcripta Bio

Computational Biologist

Palo Alto, CA · On-site

Familiarity with spatial transcriptomics or multimodal data integration approaches. * Experience working with or alongside ML/AI teams; familiarity with applying machine learning methods to ...

All JobsSpatial Transcriptomics JobsSpatial Transcriptomics Jobs in Pleasanton, CA

Spatial Transcriptomics information

See Pleasanton, CA salary details

$54.5K

$226.4K

$445.2K

How much do spatial transcriptomics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for spatial transcriptomics in Pleasanton, CA is $226,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $445,200.00 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?

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 near Pleasanton, CA are hiring for Spatial Transcriptomics jobs? Cities near Pleasanton, CA with the most Spatial Transcriptomics job openings:
Spatial Transcriptomics jobs near you
Infographic showing various Spatial Transcriptomics job openings in Pleasanton, CA as of August 2026, with employment types broken down into 68% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $226,440 per year, or $108.9 per hour.

Scientist 2-Spatial Biology and Biophysics

10x Genomics

Pleasanton, CA • On-site

$39.25 - $49.25/hr

Other

Re-posted 20 days ago

Job description

About the role:

We are looking for an exceptional, multidisciplinary scientist to drive new research and product development efforts in our Spatial Biology department. The ideal candidate will have a proven track-record in molecular biology and biophysics with extensive experience designing and working with biomolecule imaging platforms (including 10x Genomics Xenium). This position necessitates a deep understanding of molecular biology as you will be applying your skills and knowledge to optimize and evaluate new assays in the area of spatial transcriptomics. Additionally, this role will require you to interact closely with colleagues in several departments including computational biology, software, engineering and microfluidics. You should have a strong analytical background, be driven by developing revolutionary new products and technologies, and enjoy working in a fast-paced, innovative and truly multi-disciplinary environment.

What you will be doing:

The successful candidate will contribute molecular biology and biophysics expertise and leadership to cross-disciplinary product development teams to ensure project milestones and technological specifications are met.
Design and execute experiments using novel imaging and biochemistry platforms integral to various spatial technology platforms under development at 10x Genomics. This includes in-depth analysis and reporting of your data through documentation and presentations to internal groups.
Work closely with computational biologists and optical engineers to interpret data generated by novel optical and biochemical assays.
Develop demonstrated and robust protocols that will be used internally across various teams during product development.

Minimum Requirements:

  • PhD in Molecular Biology, Biophysics, Physical Chemistry or related field.
  • 3+ years of relevant experience in situ hybridization, imaging and spatial techniques, preferably in the Biotechnology industry.
  • Proven ability to design novel molecular biology assay schemes, as evidenced by peer-reviewed publications or published patents.
  • Strong analytical background
  • Strong organizational skills.
  • Strong written and oral communication skills.
  • Strong troubleshooting and problem solving skills.
  • Ability to work in a fast-paced and quickly changing environment.
  • Desire to build game-changing technologies and impact the world of life science research.


Preferred Skills and Experience:

  • Experience with the 10x Genomics Xenium platform is a plus.
  • Fluency in R, Python or AI-aided coding to perform ad-hoc analysis is a plus.
  • Skills in image analysis are a plus.

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