Research Specialist

About this role

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 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.

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 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.

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 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 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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