Quantitative Geneticist

Alta Genetics•Madison, WI

About The Position

The Quantitative Geneticist at URUS is responsible for producing industry-leading bovine genetics through innovative quantitative genetics analysis and technical expertise. This role involves development of innovative approaches to genetic advancement with hands-on data analysis and analytical tasks to support scientific and operational excellence with operational goals to deploy genomic and genetic selection tools within the PEAK breeding program. Reporting to the Chief Science Officer of Acceligen, who leads the team in the Genetic Advancement and Trait Discovery as part of the Innovation group at URUS. The Quantitative Geneticist will ideally be based in Madison, WI.

Requirements

Ph.D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a related field.
Demonstrated experience with genomic evaluation processes, including data ingestion and integration, genotype imputation, variance component estimation, and breeding value prediction.
Strong background in statistical analysis of large and complex datasets.
Knowledge of genome‑wide association analysis (GWAS).
Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R, Python, and SQL.
Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks
Proficient in Microsoft Office applications.
Excellent communication skills with fluency in English.
Ability to build strong, effective relationships across teams and organizational levels.
Skilled at engaging with stakeholders from entry‑level employees to executive leadership.
Strong interpersonal, analytical, and decision‑making abilities.
Effective time‑management skills and the ability to balance multiple priorities.
Intellectual curiosity with a commitment to continuous learning and identifying new opportunities.
Willingness to travel occasionally.

Nice To Haves

Knowledge of dairy or beef cattle production preferred.
Familiarity with dairy or beef cattle production systems (preferred).

Responsibilities

Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software.
Utilize genomic data and/or machine learning to enhance prediction models.
Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran
Design and refine software pipelines that empower end-users to work independently.
Use data-driven analysis to support project decision-making and breeding program optimization
Identify opportunities for innovation by actively following scientific developments in genetics, translating them into practical applications for URUS.
Ensure accuracy, reliability, and timely delivery of research outputs.
Prepare materials for URUS internal and external education channels.
Report on project status promptly and professionally.
Contribute to long-term research and innovation strategies.
Actively participate in team and cross-functional meetings.
Attend scientific, technical, and commercial events to support knowledge exchange and visibility.
Provide technical and operational support to URUS breeding programs to improve output and efficiency.
Interpret genetic evaluation results and communicate upcoming changes.
Monitor and troubleshoot trends in genetic rankings and performance data.
Maintain up-to-date professional and technical expertise relevant to genetics and operations.
Deploy genetic diversity management tools within the breeding program.