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Spatial Transcriptomics Jobs in Texas (NOW HIRING)

MD Anderson

Senior Research Assistant

Houston, TX · On-site

$31.01 - $37.26/hr

... spatial transcriptomics assays Interface with core service and data analysis teams regarding protocols, experimental challenges, and sample quality control requirements Assay Development ...

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Spatial Transcriptomics information

What is spatial transcriptomics?

Spatial transcriptomics is an advanced technique that allows scientists to measure gene expression within the spatial context of tissue samples. Unlike traditional RNA sequencing, which loses information about where each gene is expressed, spatial transcriptomics preserves the physical location of gene activity in tissues. This helps researchers better understand how cells function within their native environments and interact with neighboring cells, which is especially valuable in fields like cancer research, neuroscience, and developmental biology. The method combines microscopy, molecular biology, and computational analysis to produce detailed maps of gene expression.

What are some common challenges faced by professionals working in spatial transcriptomics, and how can they be addressed?

Professionals in spatial transcriptomics often encounter challenges related to handling large, complex datasets and integrating spatial information with gene expression data. Ensuring high-quality sample preparation and mastering advanced imaging or sequencing technologies are also frequent hurdles. These challenges can be addressed by collaborating closely with multidisciplinary teams—including bioinformaticians, molecular biologists, and imaging specialists—and staying up-to-date with the latest software tools and protocols. Continuous learning and effective communication within the team are key to overcoming technical and analytical obstacles in this rapidly evolving field.

What are the key skills and qualifications needed to thrive as a spatial transcriptomics scientist?

To thrive as a Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with spatial transcriptomics platforms (such as 10x Genomics Visium), next-generation sequencing (NGS) technologies, and data analysis tools like R or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating on interdisciplinary research projects. These skills and qualities are crucial for generating high-quality spatial gene expression data and translating findings into meaningful biological insights.
What are popular job titles related to Spatial Transcriptomics jobs in Texas? For Spatial Transcriptomics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Spatial Transcriptomics jobs in Texas look for? The top searched job categories for Spatial Transcriptomics jobs in Texas are:
What cities in Texas are hiring for Spatial Transcriptomics jobs? Cities in Texas with the most Spatial Transcriptomics job openings:
Spatial Transcriptomics jobs near you
Infographic showing various Spatial Transcriptomics job openings in Texas as of August 2026, with employment types broken down into 72% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution.

Postdoctoral Fellow PhD - Urology

Baylor College of Medicine

Houston, TX

$46K - $63K/yr

Full-time

Posted 2 days ago

New

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

184th of 615 rated colleges and universities

Job description

Summary

The Jorgez Laboratory in the Department of Urology at Baylor College of Medicine is seeking a highly motivated Postdoctoral Fellow PhD to join an NIH-funded research program investigating the molecular and developmental mechanisms underlying testicular dysfunction and infertility in a Wnt4 conditional knockout (Wnt4-cKO) mouse model. This position offers the opportunity to work at the interface of developmental biology, reproductive endocrinology, and cutting-edge spatial and 3D imaging technologies, within a collaborative, well-resourced research environment in the Texas Medical Center.

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

Job Duties
  • Designs and executes experiments using mouse models that includes breeding colony management and genotyping.
  • Performs advanced 3D and spatial imaging (confocal, LSFM, Xenium spatial transcriptomics) and associated computational image analysis.
  • Conducts cellular and molecular assays including, immunohistochemistry, proteomic profiling, and tissue-derived cell culture-based functional studies.
  • Analyzes, interprets, and presents complex multimodal datasets integrating imaging, transcriptomic, and proteomic data.
  • Prepares manuscripts for peer-reviewed publication and contribute to grant progress reports and future funding applications.
  • Maintains reagents and supply for experiments.
  • Teaches techniques, procedures, and experimental design to other members of the lab.
  • Communicates research results in group meetings, national or international conferences.
  • Plans, directs, and conducts research experiments.
  • Develops research techniques and perform applications required for specific research projects
  • Perform other job-related duties as assigned.
Minimum Qualifications
  • Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • Experience with advanced 3D imaging modalities (light sheet fluorescence microscopy, confocal microscopy) and/or spatial transcriptomics platforms (e.g., Xenium, Visium).
  • Background in male reproductive biology, testicular development, or endocrinology.
  • Experience with bioinformatic analysis of transcriptomic or proteomic datasets.
  • Experience with animal surgical techniques (e.g., orchidopexy models).
  • Experience working on the Wnt/Bcatenin signaling pathway.

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