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Single Cell Rna Sequencing Jobs in Texas (NOW HIRING)

... single cell RNA sequencing, and spatial studies. In addition, the project will involve use of CLL mouse models for mechanistic studies, working collaboratively within a group focused on curative ...

... single cell RNA sequencing, and spatial studies. In addition, the project will involve use of CLL mouse models for mechanistic studies, working collaboratively within a group focused on curative ...

... single cell RNA sequencing, and spatial studies. In addition, the project will involve use of CLL mouse models for mechanistic studies, working collaboratively within a group focused on curative ...

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Single Cell Rna Sequencing information

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

As of Jun 10, 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 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.
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 cities in Texas are hiring for Single Cell Rna Sequencing jobs? Cities in Texas with the most Single Cell Rna Sequencing job openings:
Infographic showing various Single Cell Rna Sequencing job openings in Texas 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 $41,944 per year, or $20.2 per hour.
Postdoctoral Associate - Immunotherapy of hematologic malignancies

Postdoctoral Associate - Immunotherapy of hematologic malignancies

Baylor College of Medicine

Houston, TX • On-site

$62K - $82K/yr

Full-time

Posted 20 days ago


Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

51st of 535 rated colleges and universities


Job description

Job Title: Postdoctoral Associate - Immunotherapy of hematologic malignancies
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232 - $82,000
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
A newly funded postdoctoral position is available in Dr. Luznik's lab in the Department of Medicine at Baylor College of Medicine for highly motivated individuals interested in immunotherapy of hematologic malignancies. Central to this laboratory's mission is an in-depth exploration of the basic mechanisms of immune response with a focus on direct clinical application.
The long-term goal for the Postdoctoral Associate position is to generate several high-impact manuscripts and competitively apply for extramural funding toward an independent research career. The position can be tailored for physician-scientists with an interest in immunotherapy of leukemias. All the research work is published in leading journals, and the lab is a part of a large and vibrant cancer immunology and immunotherapy research community at Baylor College of Medicine.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Designs and executes advanced immunological research experiments focused on understanding T-cell dysfunction and immune evasion mechanisms in hematologic malignancies, using both human samples and animal models.
  • Applies high-dimensional data analysis techniques, including single-cell RNA sequencing (scRNA-seq), multicolor flow cytometry, and systems biology approaches, to uncover novel immune cell states and therapeutic targets.
  • Develops and optimizes experimental protocols for cellular immunology, including trajectory inference and dimensionality reduction methods such as tSNE and UMAP, tailored to translational immunotherapy applications.
  • Analyzes and interprets complex datasets using bioinformatics tools (e.g., Seurat, Scanpy) and programming languages such as R or Python, contributing to mechanistic insights and clinical relevance.
  • Establishes and refines research protocols that integrate molecular biology and computational pipelines to support reproducibility and scalability of immunological assays.
  • Summarizes research findings in high-impact manuscripts and contributes to grant applications, with the goal of securing extramural funding and advancing toward an independent research career.
  • Manages laboratory operations that includes oversight of data integrity, compliance with institutional protocols, and coordination of collaborative projects within Baylor's cancer immunology community.
  • Uses human samples and animal models, and utilizes systems biology to explore the mechanism of T-cell dysfunction and immune evasion in leukemia.
  • Mentors junior research staff and trainees.
  • Fosters a collaborative and intellectually rigorous environment that supports career development and scientific excellence.
  • 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
  • Experience in techniques of cellular immunology, multicolor flow cytometry, molecular biology, bioinformatics, and advanced data analysis.
  • Experience with single-cell transcriptomic analysis will be given high priority.
  • Strong interests in both mechanistic and translational aspects of work.
  • Ability to work independently and in a collaborative environment.
  • Enthusiasm for science, effective communication skills, self-motivation, and a record of publication.
  • Be a good team player is important.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
PD; SN
Requisition ID: 25130

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