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

As of Sep 6, 2026, the average hourly pay for single cell spatial transcriptomics in Houston, TX is $20.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $25.96 per hour, depending on experience, location, and employer.

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.

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 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.

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What job categories do people searching Single Cell Spatial Transcriptomics jobs in Houston, TX look for?

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What cities near Houston, TX are hiring for Single Cell Spatial Transcriptomics jobs?

Cities near Houston, TX with the most Single Cell Spatial Transcriptomics job openings:

Single Cell Spatial Transcriptomics jobs near you
Infographic showing various Single Cell Spatial Transcriptomics job openings in Houston, TX as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 79% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $42,994 per year, or $20.7 per hour.

Research Scientist II, Single Cell Genomics Service Center

UTMB Health

Galveston, TX • On-site

Full-time

Posted 25 days ago

UTMB Health rating

7.2

Company rating: 7.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

344th of 898 rated healthcare providers

Job description

Minimum Qualifications: 

  • Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.

Job Description:

Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise.

Job Duties:

  • Design and implement bioinformatics pipelines for analyzing large-scale genomics and transcriptomics data, including single cell and spatial transcriptomics. 
     
  • Collaborate with wet-lab researchers to design experiments and interpret results. 
     
  • Develop and maintain bioinformatics tools and software and documentation. 
     
  • Integrate, visualize, and analyze genomic data from various sources. 
     
  • Process sequencing data generated by sequencing instruments and deliver data to researchers. 
     
  • Write and publish scientific papers and reports summarizing research findings.
     
  • Other duties as assigned.
     

Knowledge /Skills/ Abilities:

  • Experience in transcriptomics, epigenomics, or metagenomics. 
     
  • Experience in spatial transcriptomics data analysis such as Xenium platform or other spatial transcriptomics 
     
  • Familiarity with cloud computing and high-performance computing environments 
     
  • Expertise in bioinformatics algorithms, tools, and technologies 
     
  • Strong programming skills in languages such as Python, R, and Perl 
     
  • Experience analyzing large-scale genomic data
     
  • Excellent Communication and interpersonal Skills
     
  • Ability to work independently and as part of a team 
     

Salary Range:
Commensurate with experience 
 

WORKING ENVIRONMENT/LOCATION OF POSITION: 
Standard laboratory environment. 
 

Equal Employment Opportunity

UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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