1

Rna Seq Jobs (NOW HIRING)

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

next page

Showing results 1-20

Rna Seq information

See salary details

$70.5K

$142.8K

$254K

How much do rna seq jobs pay per year?

As of Jul 25, 2026, the average yearly pay for rna seq in the United States is $142,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $175,000.00 per year, depending on experience, location, and employer.

What is an RNA-Seq job?

An RNA-Seq job typically involves analyzing transcriptomic data generated from RNA sequencing (RNA-Seq) experiments. Professionals in this role use bioinformatics tools to process raw sequencing data, perform quality control, map reads to a reference genome, and quantify gene expression. They may also conduct differential expression analysis, pathway enrichment studies, and visualization of results. This job often requires expertise in programming languages like Python or R, as well as familiarity with sequencing technologies and statistical methods.

What are the key skills and qualifications needed to thrive in the Rna Seq position, and why are they important?

To thrive in an RNA-Seq role, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by a degree in life sciences or related fields. Proficiency in tools such as Illumina sequencing platforms, FASTQC, STAR, and data analysis packages like R or Python is often required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills in this position. These abilities ensure accurate sequencing, data interpretation, and effective collaboration on genomic research projects.

What are the typical daily responsibilities of someone working in RNA-Seq analysis?

Daily tasks in an RNA-Seq role often include preparing and sequencing RNA samples, performing quality checks on raw data, and using specialized software to analyze and interpret gene expression profiles. In addition, you may collaborate closely with researchers and lab technicians to design experiments and validate findings. Regular responsibilities can also involve troubleshooting technical issues and documenting workflows for reproducibility. This role requires flexibility as project needs and technologies continue to evolve, offering dynamic opportunities to learn and contribute to cutting-edge research.

More about Rna Seq jobs
What cities are hiring for Rna Seq jobs? Cities with the most Rna Seq job openings:
What are the most commonly searched types of Rna Seq jobs? The most popular types of Rna Seq jobs are:
What states have the most Rna Seq jobs? States with the most job openings for Rna Seq jobs include:
Infographic showing various Rna Seq job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $142,829 per year, or $68.7 per hour.
Postdoctoral Research Associate, Cellular and Molecular Medicine

Postdoctoral Research Associate, Cellular and Molecular Medicine

University of Arizona

Tucson, AZ

Other

Posted 15 hours ago


University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

351st of 560 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. 

What University Of Arizona employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom