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Spatial Transcriptomics Jobs (NOW HIRING)

Valius Sciences

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.

The University of Chicago

Staff Scientist

Chicago, IL · On-site

$80K - $100K/yr

Lead computational analyses of bulk RNA-seq, single-cell RNA-seq, DNA sequencing, and spatial transcriptomics datasets. * Develop and implement reproducible pipelines for multi-omic data integration ...

University of Chicago Library

Staff Scientist

Chicago, IL · On-site

$80K - $100K/yr

Lead computational analyses of bulk RNA-seq, single-cell RNA-seq, DNA sequencing, and spatial transcriptomics datasets. * Develop and implement reproducible pipelines for multi-omic data integration ...

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$49K

$203.5K

$400K

How much do spatial transcriptomics jobs pay per year?

As of Jun 4, 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 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 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 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.
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What cities are hiring for Spatial Transcriptomics jobs? Cities with the most Spatial Transcriptomics job openings:
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What job categories do people searching Spatial Transcriptomics jobs look for? The top searched job categories for Spatial Transcriptomics jobs are:
Spatial Transcriptomics jobs near you
Infographic showing various Spatial Transcriptomics job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 66% Full Time, 5% Temporary, 19% Contract, and 5% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Postdoctoral Fellow, Computational Biology & Medicine/Neuroscience

Postdoctoral Fellow, Computational Biology & Medicine/Neuroscience

Genentech, Inc.

South San Francisco, CA • On-site

$110K - $120K/yr

Full-time

Posted 21 days ago

Genentech rating

9.0

Company rating: 9.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

7th of 71 rated pharmaceutical

Job description

We advance science so that we all have more time with the people we love.
A position is available for a postdoctoral fellow to join the Computational Sciences -Center of Excellence (CS-CoE) organization which uses data, by developing best in class computational methods, and applying them to the most relevant scientific problems across all stages of the pipeline. This position is based within the Pandey Lab in Computational Biology and Medicine/Neuroscience.
The postdoctoral position is focused on applying cutting edge computational methods to understand stromal cells of the brain particularly their pathological role in neuroinflammatory diseases. Spanning single cell transcriptomics, genetics, proteomics, spatial transcriptomics and functional genomics, the postdoctoral fellow will lead large scale integrative analyses to delineate the complex and overlooked role that stromal cells might play in disease pathogenesis. While this position is computational, the project is highly collaborative, involving regular interaction with laboratory colleagues in Neuroscience and Translational Medicine.
The Opportunity:
  • Opportunity to work closely with computational colleagues to apply cutting edge computation to impactful scientific problems in neuroscience
  • Leverage multimodal high dimensional data - including single cell and spatial transcriptomics, proteomics and genetics - to investigate the role of stromal cells in neuroinflammation and neurodegeneration.
  • Exploratory research in a fast-paced setting with the potential for real impact on patients
  • Technical and scientific mentorship from computational and laboratory colleagues in the development and testing of biological hypotheses
  • Present at external scientific conferences and publish scientific insights in high-impact journals

Who You Are:
  • Ph.D. in Computational Biology, Bioinformatics, Neuroscience or related field
  • Experience with bulk and/or single-cell omics data analysis (e.g. bulk genomics, transcriptomics, proteomics, single-cell RNA-seq, Perturb-seq, spatial transcriptomics )
  • Proven ability to bridge bioinformatics and genetics to solve complex problems, ideally within CNS health or disease
  • Demonstrated ability to clearly and effectively communicate complex computational findings to both technical and non-technical audiences; this should be in written and verbal form, as evidenced by first-author publications in high-impact journals and presentations at scientific conferences.
  • Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of computational and laboratory biologists

Preferred Qualifications:
  • Passionate about working in a scientific environment, especially one that is related to drug discovery and development
  • Collaborative mindset and enthusiasm for bridging computation with functional biology.
  • Quick learner, are curious about new areas and the opportunity to build expertise, and courageously boldly and creatively take initiative to see your ideas implemented
  • Able to perform at a high level in a fast changing and demanding environment

The expected salary range for this position based on the primary location of California is $110,000 to $120,000 . Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Relocation benefits are available for this job posting.
About Genentech's Postdoctoral Program:
Elevate your research career to new heights with Genetech's Postdoctoral Program! Join a prestigious community of early career scientists and kick-start your journey toward becoming a scientific leader in biotechnology and bioengineering. With competitive salaries and fully funded research expenses, you can dedicate yourself to groundbreaking research that aligns with Genentech strategic ambitions.
The postdoc program is designed to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and support necessary to develop into an independent scientist and leader. The Genentech Postdoc Program provides access to world-class seminars, professional development workshops, and networking opportunities. Apply now to Genentech's Postdoctoral Program and unlock your full potential!
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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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