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Single Cell Rna Sequencing Jobs in St Louis, MO (NOW HIRING)

The position is responsible for enabling the lab to generate state-of-the art multi-omic libraries (single-cell RNA-seq, ATAC-seq, spatial transcriptomics, etc.) from precious human and mouse brain ...

Single Cell Rna Sequencing information

See St Louis, MO salary details

$12

$21

$29

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

As of Aug 27, 2026, the average hourly pay for single cell rna sequencing in St. Louis, MO is $21.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $26.39 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a single cell RNA sequencing specialist?

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 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 cities near St. Louis, MO are hiring for Single Cell Rna Sequencing jobs?

Cities near St. Louis, MO with the most Single Cell Rna Sequencing job openings:

Infographic showing various Single Cell Rna Sequencing job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 77% Full Time, 17% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $43,771 per year, or $21 per hour.

Postdoctoral Research Associate - Infectious Diseases

Saint Louis, MO โ€ข On-site

Washington University
Print Media Publishingย โ€ขย 51 - 200 employees

Full-time

Re-posted 25 days ago


Job description

Location
SAINT LOUIS, MO 63110Position Summary
In support of a recently funded NIH DP2 award, we are looking for a cellular immunologist to join the Kotov lab as a Postdoctoral Research Associate. We focus on the innate immune response to Mycobacterium tuberculosis (Mtb) infection as it is the leading cause of death from a single pathogen worldwide. Our goal is to understand the host response to this infection to identify novel targets for host-directed therapies.
There are a number of projects available, all of which focus on the host response during Mtb infection, with a primary focus on plasmacytoid dendritic cells, macrophages, and neutrophils.
The ideal candidate will be motivated, independent, and collegial, with the expectation that they will lead a project or two. This position is primarily a wet lab position (though has dry lab components!) involving the use of mouse models in an animal BSL3 facility. Previous BSL3 experience is not a requirement. Candidates with experience with mice, flow cytometry, and microscopy are encouraged to apply. Additionally, previous experience analyzing transcriptomic data is an advantage, as the dry lab (e.g., single cell RNA-sequencing dataset analysis) informs the wet lab work.
Job Description
Primary Duties & Responsibilities:
For more information about the Kotov lab, please visit https://kotovlab.wustl.edu/.
Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.
Trains under the supervision of a faculty mentor including (but not limited to):
  • Leverage cellular immunology techniques (flow cytometry, microscopy, bulk and single cell RNA-sequencing, spatial transcriptomics) to study the host response against Mtb infection using mouse models in a BSL3 facility.
  • Perform basic bioinformatics analysis of single cell RNA-sequencing and spatial transcriptomic datasets.
  • Mentor undergraduates, research technicians, and rotating graduate students.
  • Collaborate with researchers inside and outside of Washington University in St. Louis.
  • Present at national and international conferences.
  • Write manuscripts.

Working Conditions:
This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.
Salary Range:
Base pay is commensurate with experience.
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
At WashU, postdoctoral appointments:
  • Have a 5-year term limit that includes previous experience.

Preferred Qualifications
Education:
No additional education unless stated elsewhere in the job posting.
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting, Scientific Writing
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.