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Single Cell Spatial Transcriptomics Jobs in Texas

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

... spatial transcriptomic, proteomic, metabolomic, imaging, and single-cell technologies to characterize cellular states and interactions within human tumors. Integrate cancer genomics, transcriptomics ...

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

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

Showing results 41-60

Single Cell Spatial Transcriptomics information

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

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

$5.4K/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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.