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Single Cell Spatial Transcriptomics Jobs in Texas

Tamus

Research Specialist

College Station, TX

$5.4K/mo

Bulk and single-cell RNA sequencing * Spatial transcriptomics * Proteomics * Metabolomics * Multi-omics integration analyses * Develops and maintains bioinformatics pipelines for data processing and ...

MD Anderson

Postdoctoral Fellow - Immunology

Houston, TX · On-site

$46K - $63K/yr

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

MD Anderson

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 ...

MD Anderson

Postdoctoral Fellow - Immunology

Houston, TX · On-site

$46K - $63K/yr

... 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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All JobsSingle Cell Spatial Transcriptomics JobsSingle Cell Spatial Transcriptomics Jobs in Texas

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?

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

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:

What cities in Texas are hiring for Single Cell Spatial Transcriptomics jobs?

Cities in Texas with the most Single Cell Spatial Transcriptomics job openings:

Single Cell Spatial Transcriptomics jobs near you

Research Specialist

Texas A&M University

College Station, TX • On-site

$54 - $66/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

237th of 630 rated colleges and universities

Job description

Job Title

Research Specialist Agency Texas A&M Agrilife Research Department Institute for Advancing Health Through Agriculture-Precision Nutrition


Salary

Proposed Minimum Salary$5,416.67 monthly


Location

College Station, Texas


Job Type

Staff


About the Position

Precision Nutrition in Institute for Advancing Health Through Agriculture (IHA) at Texas A&M University is seeking a highly motivated Research Scientist in Bioinformatics to join a multidisciplinary research team investigating the interactions among nutrition, metabolism, immunity, aging, and chronic diseases. The successful candidate will lead the analysis and integration of large-scale multi-omics datasets generated from both animal models and human studies.


Responsibilities

  • Analyzes and interprets high-throughput sequencing and omics datasets, including: Microbiome (16S rRNA and shotgun metagenomics), Bulk and single-cell RNA sequencing, Spatial transcriptomics, Proteomics, Metabolomics, Multi-omics integration analyses.

  • Develops and maintains bioinformatics pipelines for data processing and quality control.

  • Collaborates with biologists, nutrition scientists, and clinicians to generate biological insights from complex datasets.

  • Prepares figures, reports, manuscripts, and grant applications.

  • Mentors graduate students and other trainees in computational biology approaches.

  • Contributes to the development of innovative analytical methods and research directions.


Required Qualifications

  • Bachelor's Degree.

  • Eight years of related experience.

  • Demonstrated experience analyzing next-generation sequencing data.

  • Proficiency in R, Python, Linux/Unix, and statistical analysis.

  • Experience with microbiome, transcriptomics, proteomics, or metabolomics datasets.

  • Strong publication record and excellent communication skills.


Preferred Education and Experience

  • Master or Ph.D. in Bioinformatics, Computational Biology, Genomics, Biostatistics, Computer Science, Systems Biology, or a related field.

  • Experience with single-cell RNA-seq analysis.

  • Experience with multi-omics integration and systems biology approaches.

  • Familiarity with cloud computing, high-performance computing clusters, and machine learning methods.

  • Experience with pathway enrichment, network analysis, and visualization tools.


Why Work at Texas A&M AgriLife?

When you choose to work for Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.



  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums.

  • 12-15 days of annual paid holidays.

  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month.

  • Automatic enrollment in the Teacher Retirement System of Texas.

  • Employee Wellness Initiative for Texas A&M AgriLife.


All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.


Equal Opportunity/Veterans/Disability Employer.


The Texas A&M University System is an Equal Opportunity/ Veterans/ Disability Employer.

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