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Spatial Transcriptomics Omics Jobs in Houston, TX

We combine cancer genomics, spatial multi-omics, advanced imaging, lineage tracing, and ... They will integrate cancer genomics, transcriptomics, imaging, and functional studies to identify ...

We combine cancer genomics, spatial multi-omics, advanced imaging, lineage tracing, and ... They will integrate cancer genomics, transcriptomics, imaging, and functional studies to identify ...

Postdoctoral Fellow - Immunology

Houston, TX · On-site

$46K - $63K/yr

We combine cancer genomics, spatial multi-omics, advanced imaging, lineage tracing, and ... They will integrate cancer genomics, transcriptomics, imaging, and functional studies to identify ...

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Spatial Transcriptomics Omics information

See Houston, TX salary details

$46.8K

$194.3K

$382K

How much do spatial transcriptomics omics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for spatial transcriptomics omics in Houston, TX is $194,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $382,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Spatial Transcriptomics Specialist, and why are they important?

To thrive as a Spatial Transcriptomics Specialist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with high-throughput sequencing platforms, spatial omics technologies, and data analysis tools like R or Python is essential, along with experience using laboratory automation systems. Attention to detail, problem-solving abilities, and effective interdisciplinary communication are crucial soft skills for this role. These skills ensure accurate experimental design, robust data interpretation, and successful collaboration in cutting-edge biological research.

What is the difference between Spatial Transcriptomics Omics vs Spatial Transcriptomics Technician?

AspectSpatial Transcriptomics OmicsSpatial Transcriptomics Technician
Required CredentialsAdvanced degrees (Master's/PhD) in molecular biology, genomics, or related fieldsAssociate's or Bachelor's degree in biology, biotechnology, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsLaboratories, research facilities, biotech companies
Industry UsageResearch and development, data analysis, method developmentSample preparation, data collection, equipment operation

Spatial Transcriptomics Omics professionals focus on data analysis, method development, and research, often requiring advanced degrees. In contrast, Spatial Transcriptomics Technicians handle sample preparation and operate equipment, typically with a technical diploma or bachelor's degree. Both roles are essential in the spatial transcriptomics industry but differ in responsibilities and qualifications.

What are some common challenges faced by professionals in Spatial Transcriptomics Omics, and how can they be addressed?

Professionals working in Spatial Transcriptomics Omics often encounter challenges such as managing and interpreting large, complex datasets, integrating multi-omics data, and keeping pace with rapidly evolving technologies. Effective collaboration with bioinformaticians, pathologists, and laboratory technicians is essential to ensure high-quality results. Staying updated with the latest analytical tools and participating in cross-disciplinary training can help overcome these challenges and enhance both research quality and career growth.

What is spatial transcriptomics in omics research?

Spatial transcriptomics is a cutting-edge technology in the field of omics that allows researchers to measure and map gene expression within the spatial context of intact tissue sections. This means scientists can see which genes are active in specific locations of a tissue, preserving the spatial relationships between cells. By combining spatial information with transcriptomic data, researchers gain deeper insights into tissue organization, cellular interactions, and disease mechanisms. This approach is especially valuable for understanding complex tissues like tumors or brain structures.
What are popular job titles related to Spatial Transcriptomics Omics jobs in Houston, TX? For Spatial Transcriptomics Omics jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Spatial Transcriptomics Omics jobs in Houston, TX look for? The top searched job categories for Spatial Transcriptomics Omics jobs in Houston, TX are:
Infographic showing various Spatial Transcriptomics Omics job openings in Houston, TX as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, 1% Contract, and 4% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $194,306 per year, or $93.4 per hour.
Postdoctoral Fellow - Sarcoma Medical Oncology- Research

Postdoctoral Fellow - Sarcoma Medical Oncology- Research

MD Anderson

Houston, TX

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 16 hours ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 169 frontline employees who took The Breakroom Quiz

27th of 885 rated healthcare providers


Job description

We are seeking a highly motivated and creative postdoctoral fellow to join a collaborative research program in sarcoma biology, co-mentored by Dr. Joseph Ludwig, M.D., and Dr. Danh Truong, Ph.D. The successful candidate will be part of an interdisciplinary team dedicated to understanding the fundamental and translational mechanisms that drive high-grade bone and soft tissue sarcomas.
This position is ideally suited for individuals who are excited to tackle fundamental biological questions in rare and understudied cancers, push the boundaries of emerging technologies, and make impactful discoveries that inform new therapeutic strategies. The training environment emphasizes intellectual independence, rigorous mentorship, and career development, preparing fellows for successful careers in academia, industry, or translational research.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
By the end of this training, the fellow will be able to:
• Elucidate key biological principles underlying sarcoma development, progression, and heterogeneity
• Apply modern single cell approaches to study sarcoma biology in relevant model systems.
• Leverage emerging technologies, like xenium, to generate and analyze complex data from sarcoma samples.
• Integrate diverse datasets to gain insights into sarcoma behavior and therapeutic response.
• Formulate and test research hypotheses related to sarcoma biology and treatment.
• Collaborate effectively across multidisciplinary teams focused on cancer research including with scientists, clinicians, and industry partners.
• Communicate scientific findings clearly in both written and oral formats.
• Develop skills for independent careers in sarcoma-focused or broader cancer research which includes grant writing, manuscripts, and presentations
ELIGIBILITY REQUIREMENTS
Qualifications include a PhD (or equivalent doctoral degree) in cancer biology, molecular biology, bioengineering, computational biology, or a related field, along with a strong interest in sarcoma research and quantitative, technology-driven science. Experience with single-cell or spatial omics, imaging-based methods, or epigenomics is desirable but not required.
ADDITIONAL APPLICATION INFORMATION
Our laboratory pursues an integrated research program spanning fundamental cancer biology to translational discovery, with a central focus on phenotypic plasticity and the epigenetic mechanisms underlying sarcoma initiation, progression, and therapeutic resistance. We are particularly interested in defining how oncogenic chimeric transcription factors, aberrant differentiation programs, and dynamic interactions with the tumor microenvironment shape tumor heterogeneity and disease evolution.
To address these questions, our group leverages cutting-edge experimental and computational approaches, including single-cell RNA sequencing, spatial transcriptomics, high-dimensional imaging, and advanced cell engineering strategies, applied across a diverse portfolio of state-of-the-art in vitro, in vivo, and patient-derived model systems. The postdoctoral fellow will have opportunities to integrate multimodal datasets, develop innovative experimental workflows, and collaborate closely with clinicians and scientists across disciplines.
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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