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Single Cell Spatial Transcriptomics Jobs in Houston, TX

... spatial transcriptomic, proteomic, metabolomic, imaging, and single-cell technologies to ... They will integrate cancer genomics, transcriptomics, imaging, and functional studies to identify ...

Postdoctoral Fellow - Immunology

Houston, TX · On-site

$46K - $63K/yr

... spatial transcriptomic, proteomic, metabolomic, imaging, and single-cell technologies to characterize cellular states and interactions within human tumors. Integrate cancer genomics, transcriptomics ...

... spatial transcriptomic, proteomic, metabolomic, imaging, and single-cell technologies to ... They will integrate cancer genomics, transcriptomics, imaging, and functional studies to identify ...

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Single Cell Spatial Transcriptomics information

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$28

How much do single cell spatial transcriptomics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for single cell spatial transcriptomics in Houston, TX is $20.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $25.96 per hour, depending on experience, location, and employer.

What is single cell spatial transcriptomics?

Single cell spatial transcriptomics is a cutting-edge technique that allows researchers to analyze gene expression in individual cells while preserving their spatial location within a tissue. This method combines the high-resolution insights of single-cell RNA sequencing with spatial information, enabling scientists to understand how cells interact and organize within their native environments. It is widely used in biomedical research to study tissue architecture, disease mechanisms, and cellular heterogeneity.

What are the typical challenges faced by professionals working in single cell spatial transcriptomics, and how can they be addressed?

Professionals in Single Cell Spatial Transcriptomics often encounter challenges related to handling large, complex data sets and integrating spatial information with single-cell transcriptomic profiles. These tasks demand strong computational skills and close collaboration with bioinformaticians and other researchers. Effective communication within interdisciplinary teams is essential to ensure experimental design aligns with downstream analysis needs. Staying updated with rapidly evolving technologies and best practices also helps professionals overcome technical hurdles and produce reliable, high-impact results.

What are the key skills and qualifications needed to thrive as a single cell spatial transcriptomics scientist, and why are they important?

To thrive as a Single Cell Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree (PhD or MSc) in a relevant field. Familiarity with high-throughput sequencing platforms, spatial transcriptomics technologies (like 10x Genomics Visium or NanoString GeoMx), and data analysis tools such as R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These skills and qualities are vital for generating reliable insights into cellular function and spatial organization, which drive innovative research and discovery.

What are popular job titles related to Single Cell Spatial Transcriptomics jobs in Houston, TX?

For Single Cell Spatial Transcriptomics jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Single Cell Spatial Transcriptomics jobs in Houston, TX look for?

The top searched job categories for Single Cell Spatial Transcriptomics jobs in Houston, TX are:

What cities near Houston, TX are hiring for Single Cell Spatial Transcriptomics jobs?

Cities near Houston, TX with the most Single Cell Spatial Transcriptomics job openings:

Infographic showing various Single Cell Spatial Transcriptomics job openings in Houston, TX 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 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $42,994 per year, or $20.7 per hour.

Postdoctoral Fellow - Genomic Medicine

MD Anderson Cancer Center

Houston, TX • On-site

$46K - $63K/yr

Full-time

Re-posted 16 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

12th of 898 rated healthcare providers


Job description

The Wang Laboratory at MD Anderson Cancer Center is a computational biology research lab. We apply innovative bioinformatics approaches to dissect the tumor 'ecosystem', deeply profile tumor cells and cells of the tumor microenvironment as well as tumor-immune-stroma crosstalk at single-cell resolution and in the spatial context. The lab's key focus areas include: 1) Transition from premalignant lesions to invasive cancer; 2) Evolution of metastasis from a localized tumor; 3) Dynamic response to anti-cancer therapies and the development of therapeutic resistance. Leveraging cutting-edge single-cell and spatial multi-omics technologies, cellular imaging, and innovative bioinformatics tools and computational frameworks, we aim to harness the potential of big data to fight cancer. Our overarching goal is to advance our understanding of the cellular & molecular cues underlying early tumorigenesis, disease progression, and the development of therapy resistance and translate our novel discoveries into improved patient care. We are seeking multiple talented and highly motivated Postdoctoral Fellows with a strong background in bioinformatics and a passion for exploring the heterogeneity and evolution of tumor cells and tumor microenvironment using the state-of-the-art single cell and spatial multi-omics approaches.
LEARNING OBJECTIVES
Gain skills in single cell, spatial omics, and imaging data analysis, immunogenomics, immune-informatics, and cancer-specific bioinformatics. Develop expertise in study design, data analysis, data interpretation, presentation, manuscript and grant writing
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
ELIGIBILITY REQUIREMENTS
Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are encouraged to apply. A strong computational background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with single cell and spatial omics data analysis and high-performance computing environment (Unix/Linux) is highly preferred. A good understanding of cancer biology, immunology, cell biology, and molecular biology is also preferred. Proven track record of publications, excellent spoken and written communication skills are required
ADDITIONAL APPLICATION INFORMATION
Interested applicants should send a Cover Letter specifying past research experience/skills/accomplishments, a Curriculum Vitae and the contact information of three (3) Referees to Dr. Linghua Wang at Lwang22@mdanderson.org with the subject line entitled "Postdoctoral Fellow - Application - Applicant's Name".
POSITION INFORMATION
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
FACULTY MENTOR
Dr. Linghua Wang

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