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Spatial Transcriptomics Jobs in College Station, TX

Tamus

Research Specialist

College Station, TX

$5.4K/mo

Spatial transcriptomics * Proteomics * Metabolomics * Multi-omics integration analyses * Develops and maintains bioinformatics pipelines for data processing and quality control. * Collaborates with ...

All JobsSpatial Transcriptomics JobsSpatial Transcriptomics Jobs in College Station, TX

Spatial Transcriptomics information

See College Station, TX salary details

$40.5K

$168.3K

$330.8K

How much do spatial transcriptomics jobs pay per year?

As of Aug 27, 2026, the average yearly pay for spatial transcriptomics in College Station, TX is $168,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,900.00 and $330,800.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Spatial Transcriptomics jobs in College Station, TX look for?

The top searched job categories for Spatial Transcriptomics jobs in College Station, TX are:

What cities near College Station, TX are hiring for Spatial Transcriptomics jobs?

Cities near College Station, TX with the most Spatial Transcriptomics job openings:

Spatial Transcriptomics jobs near you
Infographic showing various Spatial Transcriptomics job openings in College Station, TX as of August 2026, with employment types broken down into 1% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $168,268 per year, or $80.9 per hour.

Research Specialist

College Station, TX • On-site

Texas Agricultural Experiment Station
See more jobs at Texas Agricultural Experiment Stationexternal

$5.4K/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Job Title

Research Specialist

Agency

Texas A&M Agrilife Research

Department

Institute for Advancing Health Through Agriculture-Precision Nutrition

Proposed Minimum Salary

$5,416.67 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

About the Position

Precision Nutrition in Institute for Advancing Health Through Agriculture (IHA) at Texas A& M University is seeking a highly motivatedResearch Scientist in Bioinformaticsto 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.

Job Description Summary

The Research Specialist performs bioinformatics research in a multidisciplinary environment investigating the interactions among nutrition, metabolism, immunity, aging, and chronic diseases. This position leads the analysis and integration of large-scale multi-omics datasets generated from animal models and human studies to support biomedical research and data-driven discovery.

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 toworkfor 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.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • 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 theTeacher Retirement System of Texas

  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

Required Documents

  • CV/ Resume

  • Cover letter

  • List of references

  • Certifications/ additional documentation

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.

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