Quantitative Genetics Intern
URUS Group · Madison
The Quantitative Genetics Intern supports the development of new genetic evaluations for economically and biologically relevant traits in internal beef and dairy breeding programs. Working with the Product Development and Innovation quantitative genetics team, the intern will apply contemporary single-step genomic evaluation methods and the BLUPF90 family of programs to phenotypic, pedigree, and genomic data. The internship is designed to produce a defined technical deliverable while providing practical experience with the development, validation, documentation, and application of genetic evaluations in commercial livestock breeding programs.
Based in Madison, Wisconsin, the intern will work with R&D scientists and laboratory staff on basic and/or applied research related to reproductive biology, cell biology, embryology, or vitro fertilization.
RESPONSIBILITIES
Genetic Evaluation Development and Implementation
- Contribute to the development of one or more genetic evaluations for traits relevant to internal beef and dairy breeding programs.
- Define analysis populations, contemporary groups, fixed and random effects, and other model specifications in collaboration with team geneticists.
- Estimate or evaluate genetic parameters and implement single-step genomic evaluations using appropriate programs within the BLUPF90 family.
- Compare alternative data edits, model specifications, or evaluation scenarios and summarize implications for prediction quality and operational use.
Data Management and Quality Assurance
- Prepare, integrate, and quality-control phenotypic, pedigree, and genomic datasets used in assigned evaluations.
- Assess evaluation outputs for convergence, data integrity, predictive performance, bias, stability, biological plausibility, and suitability for use in breeding decisions.
Analytical Programming and Workflow Development
- Develop reproducible scripts and workflows for data preparation, program execution, results processing, validation, and reporting.
- Document datasets, code, parameter files, methods, assumptions, quality-control rules, analytical decisions, limitations, and results to support reproducibility and future implementation.
Technical Communication and Project Collaboration
- Participate in regular project meetings, communicate progress and technical risks, and incorporate feedback from quantitative genetics and business stakeholders.
- Prepare and deliver a final technical report and presentation summarizing methods, results, limitations, and recommended next steps.
PROFESSIONAL QUALIFICATIONS AND EXPERIENCE
Practical experience conducting genetic evaluations in livestock, preferably cattle.
Hands-on experience implementing single-step BLUP or single-step genomic BLUP evaluations using the BLUPF90 family of programs.
Sound understanding of mixed models, breeding value estimation, genomic relationship matrices, genetic parameter estimation, prediction accuracy, and evaluation validation.
Experience working with phenotypic, pedigree, and genomic data, including data editing, quality control, and construction of analysis-ready files.
Proficiency in Python for data manipulation, workflow development, quality control, or result processing; experience with Fortran is strongly preferred.
Experience working in Linux or Unix environments and using shell scripting, job scheduling, or high-performance computing resources is preferred.
Ability to write clear, well-documented, reproducible code and maintain organized analytical records.
Strong analytical judgment, attention to detail, problem-solving skills, and ability to work independently while seeking input when needed.
Effective written and verbal communication skills, including the ability to explain technical methods and findings to scientific and cross-functional audiences.
Ability to work remotely and participate reliably in meetings and collaborative work during regular Central Time business hours.
DELIVERABLES
A documented, reproducible genetic-evaluation workflow for the assigned trait or traits.
Analysis-ready datasets and quality-control summaries, subject to applicable data-governance requirements.
Validated evaluation outputs with a concise assessment of model performance, limitations, and implementation readiness.
A final technical report, presentation, and organized handoff of code, parameter files, and supporting documentation.
PHYSICAL DEMANDS & WORK ENVIRONMENT
While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit, stand, walk, reach with hands or arms, lift files and operate a computer.
Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust to focus.
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, copy machines, filing cabinets and fax machines.
Remote internship with regular collaboration across the Product Development and Innovation team. The intern is expected to conduct work and attend meetings during regular Central Time business hours. Day-to-day supervision and technical coaching will be provided by a senior quantitative geneticist.
Applications will close on November 6th, 2026.
As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry – Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.