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Quantitative Geneticist - Cobb Vantress Corporate; Siloam Springs, AR
Job in
Siloam Springs, Benton County, Arkansas, 72761, USA
Listed on 2026-09-07
Listing for:
Cobb-Vantress, LLC
Full Time
position Listed on 2026-09-07
Job specializations:
-
Research/Development
Genetics / Genomics, Research Scientist
Job Description & How to Apply Below
Quantitative Geneticist
We are seeking a highly skilled and innovative Quantitative Geneticist to lead and contribute to the development, implementation, and continuous improvement of genetic evaluation models, breeding program design, selection indexes, and phenotype strategies. This role is essential for maximizing genetic gain and strengthening the competitive performance of Cobb products.
Desired Skillset & Areas of Responsibility
- Develop, evaluate, and implement state-of-the-art genetic and genomic evaluation models, including linear, Bayesian, and machine-learning-based approaches.
- Optimize breeding goals, selection indexes, and trait definitions to maximize accuracy and long-term genetic progress.
- Design, research, and deploy algorithms and strategies that improve breeding program efficiency, sustainability, and genetic gain.
- Contribute expertise to long-term breeding program architecture, including simulation, scenario testing, and decision-support analytics.
- Perform advanced data wrangling, processing, and computational analysis to support genetic evaluations and research projects.
- Support development and maintenance of robust pipelines for model deployment, genomic prediction, simulation, and imputation.
- Stay current with scientific advancements in quantitative genetics, genomics, predictive modeling, and artificial intelligence.
- Lead and coordinate quantitative genetics projects to support company wide strategic objectives.
- Collaborate effectively with internal teams, external researchers, and business stakeholders.
Qualifications
- PhD in Genetics, Genomics, Animal Breeding, or a closely related field (required).
- 8+ years of relevant quantitative genetics experience with demonstrated scientific and/or industry contributions (required).
- Experience in animal or agricultural breeding industries is beneficial.
- Proficiency with computational tools used in genetics and breeding, such as Python, R, C++, BLUPF
90, FImpute, genomic pipelines, and simulation tools. - Capabilities in statistical modeling, algorithm development, and large-scale data management.
- Outstanding communication skills-both written and verbal.
- Strong interpersonal abilities, teamwork orientation, and independent problem-solving.
- Demonstrated initiative, curiosity, and drive for innovation.
Relocation Assistance Eligible:
Yes
Work Shift:
1ST SHIFT (United States of America)
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