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Single Cell Rna Sequencing Jobs in Texas (NOW HIRING)

Houston Methodist

The successful candidate will analyze and integrate bulk and single-cell high-throughput sequencing datasets, including ATAC-seq, RNA-seq, ChIP-seq, and Hi-C, to identify regulatory mechanisms that ...

Cincinnati Children's

Research Assistant IV

Burnet, TX · On-site

$55K - $82K/yr

... as DNA, RNA, and protein extractions, western blotting and mammalian cell culture. Perform ... Prepare libraries for assay for transposase-accessible chromatin using sequencing (ATAC-seq) 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 Fellow - Bioinformatics & Computational Biology

MD Anderson

Houston, TX • On-site

$46K - $63K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 14 days ago

MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

14th of 898 rated healthcare providers

Job description

Postdoctoral Fellow in Computational Biology, AI/ML, and Cancer Systems Biology
We are seeking highly motivated postdoctoral fellows in computational biology, cancer systems biology, and artificial intelligence/machine learning to join our research group at UT MD Anderson Cancer Center.
The fellows will contribute to the development of a new AI/ML-driven paradigm for precision oncology, integrating computational methodology with large-scale translational and clinical datasets. Projects will span both the development of novel machine-learning and computational approaches and their application to biologically and clinically important problems in cancer.
Our group has assembled extensive collections of single-cell and spatial omics data, multi-omics datasets, functional and pharmacologic data, and clinically annotated patient cohorts across multiple cancer types. Fellows will also have opportunities to work closely with clinical, translational, and experimental collaborators and to participate in the generation of new datasets using cutting-edge spatial imaging and profiling technologies. This environment provides an unusual opportunity to develop computational methods and rapidly evaluate their biological and translational relevance.
Why join our group
This position offers access to an exceptionally rich collection of spatial omics, single-cell, multi-omics, and clinically annotated datasets, together with numerous unanswered biological and translational questions. Fellows will have considerable opportunities to lead projects, develop independent research directions, collaborate across disciplines, and generate high-impact publications.
The research program is well funded through multiple NIH, CPRIT, and other research awards, providing strong support for ambitious computational and translational projects.
UT MD Anderson Cancer Center is one of the world's leading institutions for cancer research and clinical care and provides an outstanding environment for computational, translational, and interdisciplinary research. Salaries and benefits are highly competitive.
Houston is one of the most diverse and dynamic cities in the United States, with excellent neighborhoods and schools, internationally recognized museums and performing arts organizations, outstanding restaurants, and extensive year-round recreational opportunities.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
The postdoc fellows will work on projects with the objectives:
1. AI/ML and computational modeling for precision combination therapy discovery, including integration of multi-omics, pharmacologic, and clinical data to identify therapeutic vulnerabilities and predict treatment response.
2. AI/ML for single-cell and spatial multi-omics, including development of new approaches to characterize tumor ecosystems, cellular interactions, spatial organization, biomarkers, and therapeutic response.
3. Major contributions to translational and collaborative projects accross the institution and nation with bioinformatics data analyses and modeling applications
ELIGIBILITY REQUIREMENTS
Qualifications
1. PhD in a relevant quantitative or biomedical field, such as bioinformatics, computational biology, biophysics, genomics, computer science, statistics, applied mathematics, or a related discipline.
2. Strong quantitative, computational, and programming skills.
3. Experience with machine learning, statistical modeling, and/or high-dimensional biological data.
4. Knowledge of cancer biology, signaling pathways, tumor biology, or drug-response mechanisms is highly desirable.
Ability and enthusiasm to work collaboratively across computational, experimental, and clinical disciplines.
ADDITIONAL APPLICATION INFORMATION
Representative publications
1. Luna A, Wang H, Wang L, et al ... Korkut, A. Co-targeting PARP and SHP2 overcomes resistance to apoptosis and induces durable responses in preclinical models of breast cancer. Cancer Research. Under minor revision.
2. Li X, Dowling EK, Yan G, et al... Korkut A, Precision combination therapies based on recurrent oncogenic coalterations. Cancer Discov. 2022;12(6):1542-1559. doi:10.1158/2159-8290.CD-21-0832.
3. Li X, Nguyen J, Korkut A. RECOMBINE identifies recurrent composite markers of cell types and states. Genome Res. 2026;36(6):1221-1237. doi:10.1101/gr.280817.125.
4. Johnson A, Shen Y, Zheng X, et al. The actionable transcriptome: a framework for incorporating RNA sequencing into precision oncology. Nat Rev Clin Oncol. 2026;23(3):213-229.
5. Vishnoi M, Dereli Z, Yin Z, et al... Korkut A, prognostic matrix gene expression signature defines functional glioblastoma phenotypes and niches. Commun Biol. 2026;9:18. doi:10.1038/s42003-025-09245-8.
6. Bozorgui B, Thibault G, Yuan C, et al... Korkut A, CROCHET: a versatile pipeline for automated analysis and visual atlas creation from single-cell spatialomic data. bioRxiv. Published online March 17, 2026. doi:10.64898/2026.03.13.711472.
7. Dereli Z, Bozorgui B, Sanchez M, Hornstein N, Thibault, G, Wang H, Mills GB, Weinstein JN, Overman, MJ, Korkut, A. A spatially resolved single cell proteomic atlas of Small Bowel Adenocarcinoma. Version: 1. Biorxiv [Preprint]. 2025 February 4. Available from: https://www.biorxiv.org/content/10.1101/2025.02.01.634535v1 DOI: doi.org /10.1101/2025.02.01. 634535
8. Franz A, Shen C, Coscia F, et al. Design of combination therapeutics from protein response to drugs in ovarian cancer cells. eLife. 2025;14:RP106729. doi:10.7554/eLife.106729.2.
9. McDaniel JM, Morrissey RL, Chau GP, et al. Multi-omics analysis identifies intrinsic Trp53-driven metastatic breast cancer subtypes. Sci Adv. In press.
10. Carapeto F, Bozorgui B, Shroff RT, et al. The immunogenomic landscape of resected intrahepatic cholangiocarcinoma. Hepatology. 2022;75(2):297-308. doi:10.1002/hep.32150.
11. Yan G, Luna A, Wang H, et al... Korkut A, BET inhibition induces vulnerability to MCL1 targeting through upregulation of fatty acid synthesis pathway in breast cancer. Cell Rep. 2022;40(11):111304. doi:10.1016/j.celrep.2022.111304.
12. Bozorgui B, Kong EK, Luna A, Korkut A. Mapping the functional interactions at the tumor-immune checkpoint interface. Commun Biol. 2023;6:462. doi:10.1038/s42003-023-04777-3.
13. Dibra D, Xiong S, Moyer SM, et al. Mutant p53 protects triple-negative breast adenocarcinomas from ferroptosis in vivo. Sci Adv. 2024;10(7):eadk1835. doi:10.1126/sciadv.adk1835.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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