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Spatial Transcriptomics Jobs (NOW HIRING)

Genomics Technician

Rockville, MD · On-site

$80K - $90K/yr

Perform spatial transcriptomics using 10x Visium or similar technologies. * Sample processing and Biobanking. * Keep detailed records of experimental procedures. Qualifications: * Bachelor's degree ...

Perform spatial transcriptomics using 10x Visium or similar technologies. * Sample processing and Biobanking. * Keep detailed records of experimental procedures. Qualifications: * Bachelor's degree ...

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

Bioinformatician II

Durham, NC · On-site

$94K - $150K/yr

Experience with single-cell and/or spatial transcriptomics analysis * Familiarity with multi-omics data integration * Experience applying machine learning or statistical modeling to biological ...

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 ...

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Spatial Transcriptomics information

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$49K

$203.5K

$400K

How much do spatial transcriptomics jobs pay per year?

As of Jun 24, 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.
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POSTDOCTORAL RESEARCHER - Green Center for Reproductive Biology Sciences - Haiqi Chen Lab [Req#: 914

POSTDOCTORAL RESEARCHER - Green Center for Reproductive Biology Sciences - Haiqi Chen Lab [Req#: 914

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 25 days ago


UT Southwestern rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

107th of 875 rated healthcare providers


Job description

Description
A postdoctoral training position is available in the laboratory of Dr. Haiqi Chen in the Cecil H. and Ida Green Center for Reproductive Biology Sciences at UT Southwestern Medical Center to study gene regulation using the mammalian reproductive organs as model systems. Our laboratory has several exciting projects related to two major themes. (1) We develop next-generation spatial and functional genomics technologies broadly applicable to studying gene regulation/functions in various biological systems in situ by combining techniques such as gene editing, high-resolution single-molecule imaging, and next-generation sequencing (NGS); (2) We apply these cutting-edge technologies, along with data science approaches to study mammalian reproduction, fertility, and transgenerational inheritance.
Postdoctoral scholars will work at the intersection of reproductive biology, genetics/genomics, and bioinformatics, and will have ample opportunities to learn and build upon the latest methods in spatial transcriptomics and epigenomics, single-cell sequencing, genome engineering, and various functional assays.
Information on our postdoctoral training program, benefits, and a virtual tour can be found at http://www.utsouthwestern.edu/postdocs
Qualifications
Candidates must hold a recent Ph.D. and/or M.D. degree. Experience in any of the following areas: molecular and cell biology, animal models, molecular imaging, and various NGS assays (e.g., RNA-seq or ATAC-seq) leading to publications in peer-reviewed journals is recommended. Experience in NGS data analysis is a plus but not required.
Application Instructions
Interested individuals must upload a CV, a cover letter, and a list of three references.

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