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Spatial Transcriptomics Jobs in Palo Alto, CA (NOW HIRING)

Valius Sciences

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Apply cutting-edge techniques, including scRNAseq, spatial transcriptomics, and long-read sequencing, to derive meaningful insights from complex patient datasets. * Deliver patient-facing results.

Mithrl

Bioinformatics Engineer, Pipelines

San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

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 ...

Mithrl

Bioinformatics Engineer, Pipelines

San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Intelliswift Software Inc

Scientist I

South San Francisco, CA · On-site

$40/hr

  • Medical

  • Dental

  • Vision

  • Life

We are committed to generating high-quality spatial proteomics and transcriptomics data at scale to drive Client biological insights from pathological tissue samples. Our work directly supports early ...

Nudge Inc.

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 ...

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All JobsSpatial Transcriptomics JobsSpatial Transcriptomics Jobs in Palo Alto, CA

Spatial Transcriptomics information

See Palo Alto, CA salary details

$57.6K

$239.2K

$470.2K

How much do spatial transcriptomics jobs pay per year?

As of Aug 14, 2026, the average yearly pay for spatial transcriptomics in Palo Alto, CA is $239,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $470,200.00 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 are popular job titles related to Spatial Transcriptomics jobs in Palo Alto, CA?

For Spatial Transcriptomics jobs in Palo Alto, CA, the most frequently searched job titles are:

What job categories do people searching Spatial Transcriptomics jobs in Palo Alto, CA look for?

The top searched job categories for Spatial Transcriptomics jobs in Palo Alto, CA are:

What cities near Palo Alto, CA are hiring for Spatial Transcriptomics jobs?

Cities near Palo Alto, CA with the most Spatial Transcriptomics job openings:

Spatial Transcriptomics jobs near you
Infographic showing various Spatial Transcriptomics job openings in Palo Alto, CA as of August 2026, with employment types broken down into 72% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $239,181 per year, or $115 per hour.

Scientist, Spatial Genomics R&D

Takara Bio USA, Inc.

San Jose, CA • On-site

$41.75 - $52.50/hr

Full-time

Posted 6 days ago

Job description

Job Title: Scientist, Spatial Genomics R amp;D
Reports to: Director, Assay Applications Spatial Genomics R amp;D
FLSA Class: Exempt
Learn more about our company and how we support you:
Takara Bio USA (TBUSA) empowers life science discovery. We bring innovation and inspiration to every scientist - promoting discoveries that improve health and the environment. We hold values that all employees and prospective candidates should demonstrate: Innovation, Teamwork, Integrity, Respect, Growth, Diversity and Quality. We value helping employees develop their skills and you will be part of this journey!
At Takara Bio, we know that every experimental decision has an impact. Choices matter, from design to data analysis. We create best-in-class products that get the job done. In your hands, what do those research reagents and kits create? Something powerful: knowledge, understanding, and—often—hope! Together we can improve the human condition through biotechnology…and That's Good Science!
How this role drives the company forward:
The Scientist works primarily hands-on in the lab conducting experiments to move projects through all stages of product development; from initial Proof of Concept, through Research and Development, to Product Launch. To accomplish these tasks, the individual works closely with other colleagues in R amp;D, Engineering, Marketing and Operations.
The Scientist role is lab-based.
Occasional travel, including overnight, may be required (e.g., to attend conferences).
How you will make an impact:
We are seeking a highly motivated and skilled Scientist to support our spatial transcriptomics product portfolio. This Ph.D.-level scientist will work closely with internal R amp;D, engineering, product management, and commercial teams to develop new applications for our cutting-edge spatial biology solutions. This scientist will work primarily hands-on in the lab conducting experiments to move projects through product development, troubleshoot customer issues and generate application data to support marketing collateral to drive adoption of our spatial technology.
What will you do:
  • Plans, schedules, and conducts experiments for one or more projects, exhibiting good skills in experimental design, data analysis, and result interpretation.
  • Understands project goals, meets project specifications, and commits to deliver projects within set deadlines under guidance from Senior Scientists and colleagues in Marketing (Product Managers and/or Market Strategy Managers).
  • Responsible for clear report preparation, including timely inputs to lab notebooks and project databases.
  • Learns to draft SOPs, user manuals, technical notes and other related technical documents with assistance from Senior Scientists, Marketing and Operations teams.
  • Identifies potential new products for development based on assessment of customer demand, market trends, and competitor analysis with help from Marketing and more senior researchers in the group.
  • Serves as a resource to R amp;D and other departments within the organization, including Product Management and Operations – especially during product development and launch.
  • Participates in R amp;D scientific meetings, and may represent company in front of customers, e.g. by presenting posters etc. at conferences.
  • Generate educational and scientific content, including presentations, white papers, and webinars, to showcase the capabilities of our spatial transcriptomics solutions.
  • Stay up to date with advancements in spatial transcriptomics and single-cell analysis to provide scientific expertise to customers and internal teams.
  • May support Sales and Technical Support representatives on technical matters.
  • This position does not have supervisory responsibilities.
How will you get here?
  • Ph.D. in genomics, molecular biology, immunology, biochemistry, cell biology, neuroscience, developmental biology, bioengineering, bioinformatics or related field, with 2-5 years of postdoctoral and/or industrial experience.
  • Expertise in one or more cell and molecular biology disciplines including next generation sequencing, single-cell genomics, and spatial transcriptomics.
  • Hands-on experience with tissue sectioning of fresh frozen and FFPE tissues, cell/nuclei isolation, single-cell or spatial transcriptomics platforms, library preparation, and sequencing workflows
  • Proficiency in basic bioinformatics and data analysis of single cell and/or spatial data; ability to write or adapt code in R, Python or Matlab for data processing and interpretation.
  • Strong interest in technology development and translating scientific ideas into novel applications.
  • Effective analytical and critical thinking skills, including excellent attention to detail, grounded knowledge of troubleshooting, and strong quantitative background.
  • Collaborative personality with good interpersonal skills.
  • Excellent oral and written communication skills.
AAP/EEO Statement:
Takara Bio USA, Inc. does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.
Additional Information about the role:
Please note this job description may not cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. The US base salary range for this full-time position, expected to be located in San Jose, CA, is $150,000 - $165,000 USD. This range may be modified at any time at our sole discretion. This base salary does not include additional bonus compensation and benefits. Learn more about benefits at https://www.takarabio.com/about/careers/company-benefits. Individual compensation packages are based on factors unique to each candidate, including job-related skills, training, experience, qualifications, work location, and market conditions.

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