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How much do single cell spatial transcriptomics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for single cell spatial transcriptomics in the United States is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a single cell spatial transcriptomics scientist, and why are they important?

To thrive as a Single Cell Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree (PhD or MSc) in a relevant field. Familiarity with high-throughput sequencing platforms, spatial transcriptomics technologies (like 10x Genomics Visium or NanoString GeoMx), and data analysis tools such as R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These skills and qualities are vital for generating reliable insights into cellular function and spatial organization, which drive innovative research and discovery.

What are the typical challenges faced by professionals working in single cell spatial transcriptomics, and how can they be addressed?

Professionals in Single Cell Spatial Transcriptomics often encounter challenges related to handling large, complex data sets and integrating spatial information with single-cell transcriptomic profiles. These tasks demand strong computational skills and close collaboration with bioinformaticians and other researchers. Effective communication within interdisciplinary teams is essential to ensure experimental design aligns with downstream analysis needs. Staying updated with rapidly evolving technologies and best practices also helps professionals overcome technical hurdles and produce reliable, high-impact results.

What is single cell spatial transcriptomics?

Single cell spatial transcriptomics is a cutting-edge technique that allows researchers to analyze gene expression in individual cells while preserving their spatial location within a tissue. This method combines the high-resolution insights of single-cell RNA sequencing with spatial information, enabling scientists to understand how cells interact and organize within their native environments. It is widely used in biomedical research to study tissue architecture, disease mechanisms, and cellular heterogeneity.
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What cities are hiring for Single Cell Spatial Transcriptomics jobs? Cities with the most Single Cell Spatial Transcriptomics job openings:
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Single Cell Spatial Transcriptomics jobs near you
Infographic showing various Single Cell Spatial Transcriptomics job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 78% Full Time, 17% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $45,021 per year, or $21.6 per hour.

Tenure-Track Faculty Positions in Single Cell Spatial Analyses at University of Michigan (2022)

Michigan Medicine

Ann Arbor, MI • On-site

Full-time

Re-posted 28 days ago

Michigan Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

255th of 1,055 rated hospitals

Job description

Description
The Single Cell Spatial Analysis Program (SCSAP), as part of the $150 million, campus-wide Biosciences Initiative at the University of Michigan, is soliciting applications for tenure-track faculty positions (all ranks). The SCSAP is a highly integrative program that provides an intellectual foundation and research resources to enhance single-cell and spatial analyses to the University of Michigan community. For more information, see https://singlecellspatialanalysis.umich.edu.
Primary departmental and school affiliation(s) will be determined by the applicant's research area and existing programs. We welcome applications for any area of spatial biology, including but not limited to: new technologies for high-content spatial analyses using sequencing- and/or imaging-based approaches, bioimaging informatics and computational algorithms for integrated spatial 'omics analyses, or applications of innovative approaches to addressing basic or applied biomedical and/or public health challenges. Successful candidates will become integral members and future leaders in the Single Cell Spatial Analysis Program.
Qualifications
The candidate is expected to have a doctoral degree (PhD and/or MD) in a relevant scientific, medical, or engineering discipline; a strong commitment to teaching excellence and mentorship; the ability to work collaboratively across disciplines; and a commitment to diversity, equity, and inclusion (DEI) in higher education.
Qualifications include a clear track record in the field of spatial analysis, an outstanding record of contributions to the field commensurate with rank, and evidence or strong potential of obtaining independent funding.
Application Instructions
A complete application should include:
1. Cover letter
2. Curriculum vitae
3. Statement of research experience and future plans (up to 3 pages)
4. Statement of teaching philosophy and experience (1 page)
5. Statement of DEI philosophy and experience (1 page)
6. Three reference letters (or contact information for the letter writers).
Apply at http://apply.interfolio.com/112835. For questions, please contact Dr. Jun Li (junzli@med.umich.edu) or Dr. Justin Colacino (colacino@umich.edu).
Review of applications will begin in early October and will continue until suitable candidates are identified. Those received by late November 2022 will be given priority consideration.
The University of Michigan is an Equal Opportunity/Affirmative Action Employer that is also responsive to the needs of dual career couples. Women, minority, and underrepresented candidates are particularly encouraged to apply. This search will be conducted in a manner consistent with the University of Michigan's campus-wide Diversity, Equity & Inclusion Planning Initiative. For more information, see https://diversity.umich.edu/about/.

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