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Single Cell Spatial Transcriptomics Jobs in Texas

Houston Methodist

$41K - $56K/yr

Our laboratory integrates molecular and cellular biology, immunology, genetics, single-cell RNA sequencing, spatial transcriptomics, and advanced disease models to investigate the mechanisms ...

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Single Cell Spatial Transcriptomics information

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 Texas?

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What job categories do people searching Single Cell Spatial Transcriptomics jobs in Texas look for?

The top searched job categories for Single Cell Spatial Transcriptomics jobs in Texas are:

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Single Cell Spatial Transcriptomics jobs near you

Postdoctoral Fellow PhD - Urology

Baylor College of Medicine

Houston, TX • On-site

$63K - $68K/yr

Full-time

Re-posted 2 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 630 rated colleges and universities

Job description

Postdoctoral Fellow PhD - Urology
Division: Urology
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $63,480 - $68,964
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
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.

Requisition ID: 25877

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