Full-Time
Postdoctoral Research Associate
Texas A&M University System
Compensation Overview
$4.2k/mo
College Station, TX, USA
In Person
Field trials and sample collection across Texas may be required.
PhD
Category
 Biology & Biotech (1) |
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Required Skills
Python
R
Inventory Management
Machine Learning
Quality Assurance (QA)
Data Analysis
Requirements
- A Ph.D. in a related field is required.
- Experience applying artificial intelligence and machine learning to analyze large-scale biological, genomic, metabolomic, and phenotypic datasets is required.
- Knowledge of genomic selection, genomic prediction, genome-wide association studies, quantitative genetics, and statistical learning for crop improvement is required.
- Experience integrating genomics, transcriptomics, metabolomics, phenomics, and microbiome datasets for predictive modeling and biological interpretation is required.
- Proficiency in Python, R, artificial intelligence and machine learning frameworks, and bioinformatics pipelines for high-throughput data analysis and decision support in plant breeding is required.
- Experience developing artificial intelligence-enabled decision support tools for breeding climate-resilient, high-quality horticultural crops is required.
- Familiarity with statistical modeling and computational approaches for bioactive compound analysis is required.
- Experience with next-generation sequencing, metagenomics, RNA sequencing, and transcriptomics analysis is required.
- Experience with multi-omics integration is required.
- Experience with bioinformatics and data analysis using R and Python is required.
- Experience with artificial intelligence and machine learning-assisted biological data analysis is required.
- Ability to manage laboratory personnel, inventory, and research projects is required.
- A strong background in preparing safety manuals, analytical methods, and standard operating procedures is required.
- Experience disseminating research findings through reports, presentations, and grant proposals is required.
- Mentorship experience with students and laboratory members is required.
- Ability to obtain a valid United States driver's license is required.
- Applicants are subject to a criminal history investigation and verification of credentials and other required information.
Responsibilities
- Lead and coordinate laboratory activities, including scheduling, supply requisition, safety, and compliance.
- Conduct research using artificial intelligence and machine learning to analyze large-scale biological, genomic, metabolomic, and phenotypic datasets.
- Investigate genetic, biochemical, and environmental factors influencing bioactive compounds and volatiles in fruits and vegetables.
- Develop artificial intelligence-enabled decision support tools for breeding climate-resilient, high-quality horticultural crops.
- 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.
- Work with transdisciplinary scientists and analyze large datasets.
- Train and mentor undergraduate and graduate students and visiting scientists.
- Participate in grant writing, manuscript preparation, and dissemination of research through peer-reviewed publications.
- Perform additional duties as assigned by the Director of the Vegetable and Fruit Improvement Center.
Desired Qualifications
- Experience in artificial intelligence, machine learning, and genomic selection related to climate resilience and secondary metabolites of fruits and vegetables.