1

Spatial Transcriptomics Jobs (NOW HIRING)

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

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

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

Biomedical Technician - Genomics Core

Fresno, CA · On-site

$25 - $33.25/hr

This includes familiarity with techniques such as single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, multiplex imaging, and other high-dimensional molecular profiling platforms. A ...

next page

Showing results 1-20

Spatial Transcriptomics information

See salary details

$49K

$203.5K

$400K

How much do spatial transcriptomics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for spatial transcriptomics in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 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.
More about Spatial Transcriptomics jobs
What cities are hiring for Spatial Transcriptomics jobs? Cities with the most Spatial Transcriptomics job openings:
What states have the most Spatial Transcriptomics jobs? States with the most job openings for Spatial Transcriptomics jobs include:
Infographic showing various Spatial Transcriptomics job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Principal Scientist, Translational Oncology - Single Cell and Spatial Genomics, Solid Tumors

Principal Scientist, Translational Oncology - Single Cell and Spatial Genomics, Solid Tumors

Natera

San Francisco, CA

Other

Posted 12 days ago


Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

51st of 105 rated laboratories


Job description

About the Role

We are seeking a Principal Scientist to serve as a translational and strategic leader within our

Oncology research organization. This role sits at the crossroads of reverse translation, biomarker

science, and cutting-edge genomics technology - driving mechanistic insight from the clinic

back into discovery to accelerate and de-risk our oncology pipeline. The ideal candidate brings

deep expertise in cancer biology, a track record of cross-functional leadership in a pharma or

biotech environment, and hands-on experience building and deploying single cell and spatial

omics capabilities.

What You'll Do

Discovery & Translational Research Leadership

Drive discovery and translational projects in collaboration with AI and internal research

teams with a primary focus on integrating scRNA-seq and spatial biology into Natera's

pipeline.

Collaborate with external translational teams on building single-cell and spatial biology

workflows into their early phase clinical studies.

Leverage novel technologies to inform collaborative reverse and forward translation

efforts as well as internal target discovery and validation projects.

Design and execute lab-based research programs that bridge clinical observations with

mechanistic hypotheses, supporting asset progression and CDP expansion

Technology & Capabilities

Lead and contribute to technology area team focused on single cell genomics and spatial

omics, building out multiomics capabilities to support foundational models and RWD

efforts

Partner with internal and external collaborators to establish, optimize, and deploy cutting-

edge platforms for translational applications

Serve as an internal expert and thought leader on emerging genomics technologies

relevant to oncology drug discovery and development

Cross-Functional & Strategic Engagement

Represent translational science on life cycle, RWD, and BioPharma BD teams

Collaborate with Clinical, Biomarker, Discovery, and Regulatory colleagues to shape

clinical trial design and biomarker plans

Build and maintain external scientific partnerships and advisory relationships as

appropriate

People & Team Development

Lead and mentor a team of scientists and contractors, with a strong commitment to career

development and scientific growth

Foster a collaborative, high-performance team culture with clear goals and accountability

Position Requirements

Ph.D. in Cancer Biology, Molecular/Cellular Biology, Immunology, Bioengineering, or a

closely related field

6+ years of experience post-Ph.D. in oncology translational research within biotech or

pharma, including demonstrated growth into senior or principal scientist roles

Deep scientific expertise in at least one of the following: cancer cell biology, tumor

immunology, cell engineering, or neoantigen biology

Hands-on experience with single cell genomics, spatial transcriptomics, or multiomics

platforms; experience building or scaling these capabilities in an organizational context is

strongly preferred

Strong publication and/or patent record reflecting independent scientific contribution

Demonstrated experience leading cross-functional programs and influencing without

authority across Research, Clinical, and Biomarker teams

Prior experience managing and mentoring scientists at multiple career stages

Exceptional scientific communication skills; ability to synthesize complex data and

present compellingly to diverse audiences


What Natera employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom