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How much do single cell rna sequencing jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for single cell rna sequencing 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 some common challenges faced by researchers working in Single Cell RNA Sequencing, and how can they be addressed?

Researchers in Single Cell RNA Sequencing often encounter challenges such as sample preparation variability, data complexity, and managing large datasets. Ensuring high-quality single-cell suspensions and minimizing cell loss during processing are critical steps. Additionally, interpreting data requires proficiency with bioinformatics tools and collaboration with computational biologists. Staying up-to-date with evolving protocols and leveraging multi-disciplinary teamwork can help address these challenges effectively.

What is the difference between Single Cell Rna Sequencing vs Single Cell Genomics Technician?

AspectSingle Cell Rna SequencingSingle Cell Genomics Technician
CredentialsTypically requires a degree in biology, molecular biology, or related fields; experience with sequencing technologiesSimilar credentials; often with laboratory or technical certifications in genomics
Work EnvironmentLaboratories performing sequencing, data analysis, and sample preparationLaboratories focused on sample processing, sequencing support, and data collection
Industry UsageUsed in research labs, biotech, and pharmaceutical companies for gene expression studiesCommon in genomics research centers, biotech firms, and academic labs

Both roles involve working with genomic technologies and require similar educational backgrounds. However, Single Cell Rna Sequencing specialists focus more on RNA analysis and data interpretation, while Single Cell Genomics Technicians support sample preparation and sequencing workflows. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a Single Cell RNA Sequencing Specialist, and why are they important?

To thrive as a Single Cell RNA Sequencing Specialist, you need a solid background in molecular biology, genomics, and data analysis, typically supported by a relevant degree in the life sciences. Familiarity with sequencing platforms (such as 10x Genomics or Illumina), bioinformatics tools (like Seurat or Cell Ranger), and experience with data visualization are crucial. Attention to detail, problem-solving ability, and strong communication skills help ensure accurate results and effective collaboration with research teams. Mastering these skills is essential for generating high-quality data, troubleshooting experiments, and translating complex findings into actionable insights.

What is single cell RNA sequencing?

Single cell RNA sequencing (scRNA-seq) is a technique that allows researchers to examine the gene expression profiles of individual cells. Unlike traditional RNA sequencing, which measures average gene expression across thousands or millions of cells, scRNA-seq reveals the unique transcriptomic signature of each cell. This method is valuable for studying cellular diversity, identifying rare cell types, and understanding complex biological processes such as development, disease progression, and immune responses.
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Single Cell Rna Sequencing jobs near you
Infographic showing various Single Cell Rna Sequencing job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,021 per year, or $21.6 per hour.
Postdoctoral Research Associate, Cellular and Molecular Medicine

Postdoctoral Research Associate, Cellular and Molecular Medicine

University of Arizona

Tucson, AZ

Other

Posted 8 days ago

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

337th of 544 rated colleges and universities

Job description

The laboratory combines human endothelial cell culture andperturbation systems with genomic discovery tools to dissect how geneticvariation at CAD-associated loci operates through the vessel wall.

Activeresearch areas include:

  • eQTL and splicing QTL (sQTL) mapping in human aortic and microvascular endothelial cells under physiological flow conditions.
  • Single-cell RNA sequencing and chromatin accessibility profiling across genetically diverse donor populations.
  • Colocalization of endothelial molecular QTLs with GWAS signals for CAD, blood pressure, and related vascular traits.
  • Integration with population-scale biobanks including UK Biobank, MVP, and All of Us.
  • Functional characterization of candidate effector genes emerging from colocalization, including surface proteins and splicing regulators operating through the hemodynamic flow-regulated transcriptional program.

Primary Job Duties Include:

  • Design and execute experiments using primary human endothelial cells hemodynamicshear stress conditions.
  • Prepare and QC sequencing libraries including bulk RNA-seq, small RNA-seq, ATAC-seq, and single-cell libraries.
  • Perform genome-scale quantiative trait locus (QTL) mapping analyses and genetic colocalization with genome wide association study (GWAS) summary statistics.
  • Analyze single-cell and bulk genomics datasets using standard and custom bioinformatics pipelines.
  • Contribute to grant writing, manuscript preparation, and presentations at national conferences.
  • Mentor and support graduate students and other members of the laboratory.

Knowledge, Skills & Abilities:

  • Ability operating shear stress devices (cone-and-plate and parallel-plate systems) in a laboratory setting.
  • Proficiency in sequencing library preparation, including bulk RNA-seq, small RNA-seq, ATAC-seq, and single-cell sequencing protocols (10x Genomics and sci-RNA-seq3).
  • Knowledge of genetic colocalization methods using GWAS and molecular QTL summary statistics.
  • Working knowledge of large-scale biobank resources, particularly the All of Us Research Program and phenome-wide association study (PheWAS) frameworks.   
  • Biological knowledge of vascular cell types, endothelial function, and the pathobiology of atherosclerosis. 

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