Quantitative Geneticist, Predictive Breeding

We are seeking a visionary and hands-on Quantitative Geneticist to be a principal architect of the computational engine that drives our entire crop improvement strategy.

Requirements

• Genomic Prediction & GWAS: Design, build, and validate the primary statistical models
• Breeding Simulation: Evolve our in-house breeding simulation platform
• Pipeline Optimization: Move beyond prediction to prescription
• Portfolio Management & Utility: Develop and integrate multi-trait utility functions
• Accelerate Research with AI: Act as a force multiplier by leveraging modern AI tools across the research lifecycle
• Drive Cross-Functional Impact: Serve as a critical scientific partner to domain experts, Machine Learning Engineers, and Data Engineers
• Uphold Statistical Rigor: Collaborate with fellow quantitative scientists to champion statistical integrity across the organization

Benefits

• Competitive salary
• Anticipated pay range: $125,000 - $150,000 per year