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College Station, Texas, United States • On-site
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Lead laboratory activities and conduct research using AI and machine learning to analyze large-scale biological and genomic datasets. Develop decision support tools for breeding climate-resilient horticultural crops and mentor students and visiting scientists.
A Ph.D. in a related field is required, with a preference for experience in AI, ML, and genomic selection for fruits and vegetables. Proficiency in Python, R, and bioinformatics pipelines for high-throughput data analysis is essential.
About Texas A&M AgriLife
Texas A&M AgriLife is comprised of the following Texas A&M University System members:
As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
Click here to learn more about how you can be a part of AgriLife and make a difference in the world!
Position Information
•Lead and coordinate lab activities, including scheduling, supply requisition, safety, and compliance (5%).
•Conduct research on artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic, metabolomic, and phenotypic dataset (25%).
•Investigate the genetic, biochemical, and environmental factors influencing bioactive compounds and volatiles in fruits and vegetables (5%).
•Developing AI-enabled decision support tools for breeding climate-resilient, high-quality horticultural crops (5%)
•Maintain laboratory certification through record-keeping and quality assurance and collaborate with research teams, industry partners, and other experts, including participation in the tomato integrated project. Conduct field trials and collect samples across Texas as needed (10%).
•Work with transdisciplinary scientists and analyze large data set (10%)
•Train and mentor undergraduate and graduate students, as well as visiting scientists (10%).
•Participate in grant writing, manuscript preparation, and dissemination of research through peer-reviewed publications (5%).
•Perform additional duties as assigned by the Director of the Vegetable and Fruit Improvement Center (25%).
Ph.D. in related field.
Experience in artificial intelligence (AI), machine learning (ML) and Genomic selection related to climate resilience and secondary metabolites of fruits and vegetables.
Ability to obtain a valid US driver's license.
•Experience applying artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic, metabolomic, and phenotypic datasets.
•Knowledge of genomic selection, genomic prediction, GWAS, quantitative genetics, and statistical learning for crop improvement.
•Experience integrating multi-omics datasets (genomics, transcriptomics, metabolomics, phenomics, microbiome) for predictive modeling and biological interpretation.
•Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data analysis and decision support in plant breeding.
•Experience developing AI-enabled decision support tools for breeding climate-resilient, high-quality horticultural crops.
•Familiarity with statistical modeling and computational approaches for bioactive compound analysis.
•Next-generation sequencing, metagenomics, RNA-seq and transcriptomics analysis.
•Multi-omics integration.
•Bioinformatics and data analysis using R and Python.
•AI/ML-assisted biological data analysis.
•Ability to manage laboratory personnel, inventory, and research projects.
•Strong background in preparing safety manuals, analytical methods, and standard operating procedures.
•Experience in disseminating research findings through reports, presentations, and grant proposals.
•Mentorship experience with students and lab members.
computer 20 hours, telephone 5 hours, calculator 1 hour.
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.
Prairie View A&M University is a public historically black-land grant university in Prairie View, Texas. Founded in 1876, it is one of Texas's two land grant universities and the second oldest institution of higher learning in the state.
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