Quantitative Geneticist - Cobb Vantress Corporate (Siloam Springs, AR)

Tyson Foods•Siloam Springs, AR

1d•Onsite

About The Position

Cobb-Vantress is seeking a highly skilled and innovative Quantitative Geneticist to develop, implement, and continuously improve genetic evaluation models, breeding program design, selection indexes, and phenotype strategies. The role aims to maximize genetic gain and strengthen the competitive performance of Cobb products. The successful candidate will work with the Quantitative Genetics team and collaborate across R&D, Operations, Data Science, and external research partners, contributing to the scientific and strategic advancement of Cobb’s breeding programs. The position is based in Siloam Springs, Arkansas, has 0–10% travel, and has no supervisory responsibilities. It is listed as first shift. Relocation assistance is eligible. The successful candidate must be willing and able to perform the physical requirements of the job, with or without reasonable accommodation.

Requirements

PhD in Genetics, Genomics, Animal Breeding, or a closely related field.
At least 8 years of relevant quantitative genetics experience with demonstrated scientific and/or industry contributions.
Proficiency with computational tools used in genetics and breeding, such as Python, R, C++, BLUPF90, FImpute, genomic pipelines, and simulation tools.
Capabilities in statistical modeling, algorithm development, and large-scale data management.
Outstanding written and verbal communication skills.
Strong interpersonal abilities, teamwork orientation, and independent problem-solving.
Demonstrated initiative, curiosity, and drive for innovation.
Willingness and ability to perform the physical requirements of the job, with or without reasonable accommodation.
Responsible use of approved AI tools, including safeguarding sensitive information, adhering to company policies, and validating AI-generated outputs.

Nice To Haves

Experience in animal or agricultural breeding industries is beneficial.

Responsibilities

Develop, evaluate, and implement 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 to improve breeding program efficiency, sustainability, and genetic gain.
Contribute to long-term breeding program architecture, including simulation, scenario testing, and decision-support analytics.
Perform data wrangling, processing, and computational analysis to support genetic evaluations and research projects.
Support the development and maintenance of 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 that support companywide strategic objectives.
Collaborate with internal teams, external researchers, and business stakeholders.
Use approved AI tools responsibly, protect sensitive information, follow company policies, validate AI-generated outputs, and apply professional judgment when integrating AI into daily work.