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Single Cell Rna Sequencing Jobs in Texas (NOW HIRING)

Tamus

Research Specialist

College Station, TX

$5.4K/mo

Bulk and single-cell RNA sequencing * Spatial transcriptomics * Proteomics * Metabolomics * Multi-omics integration analyses * Develops and maintains bioinformatics pipelines for data processing and ...

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

As of Sep 2, 2026, the average hourly pay for single cell rna sequencing in Texas is $20.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $25.29 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 are popular job titles related to Single Cell Rna Sequencing jobs in Texas?

For Single Cell Rna Sequencing jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Single Cell Rna Sequencing jobs in Texas look for?

The top searched job categories for Single Cell Rna Sequencing jobs in Texas are:

What cities in Texas are hiring for Single Cell Rna Sequencing jobs?

Cities in Texas with the most Single Cell Rna Sequencing job openings:

Single Cell Rna Sequencing jobs near you
Infographic showing various Single Cell Rna Sequencing job openings in Texas 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 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $41,944 per year, or $20.2 per hour.

Postdoctoral Associate - Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 27 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 628 rated colleges and universities

Job description

Summary

Baylor College of Medicine is seeking a highly motivated Postdoctoral Research Associate for an integrative analysis of transcriptomic, epigenomic, and proteomic large-scale datasets, under the joint supervision of Dr. Cristian Coarfa and Dr. Andrew DiNardo. This is an opportunity for an ambitious scientist committed to advancing their academic career, who demonstrates strong work ethic, exceptional initiative, and an innovative, analytical approach to solving complex scientific problems. The position will involve analysis of DNA methylation, single cell RNA and ATAC sequencing, Fiber-sequencing, and data science approaches to support research aimed at understanding long-term molecular changes induced by infections, in particular tuberculosis and other respiratory infections.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, Metabolomics, and other datasets, generated from tuberculosis patient cohorts with rich clinical data.
  • Performs advanced modeling of post-tuberculosis lung disease risk using approaches including generalized linear models and deep learning.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • Ph.D. in Computer Science, Bioinformatics, or Biology, with a strong background in statistics and familiarity with large datasets such as proteomics or sequencing.
  • Experience in epigenetics or gene regulation is a plus.
  • Experience with statistical analysis tools such as R or Python is required (Candidates will be expected to pass a basic programming test in Python).
  • Excellent written and verbal English skills, strong communication and interpersonal skills, and the ability to work within large collaborative teams.

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