Research Specialist

Research Specialist

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.

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 Agri Life?

When you choose to work for Texas A&M Agri Life, 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 Agri Life offers a comprehensive benefit package including the following:

• Health, dental, vision, life and long-term disability insurance with Texas A&M Agri Life contributing to employee health and basic life premiums
• 12-15 days of annual paid holidays
• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
• Automatic enrollment in the Teacher Retirement System of Texas
• Employee Wellness Initiative for Texas A&M Agri Life

Applicant Instructions

Applications received by Texas A&M Agri Life 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 Linked In 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.