Base: $150,000 - $200,000 py; bonus/equity: not sp...
On-site
Genomic prediction and gwas modeling
Python scientific computing stack proficiency
Mixed models for genetic evaluation
The role involves building the computational engine that drives the company's entire crop improvement strategy using breakthrough Boosted breeding technology
Job Summary
The role involves building the computational engine that drives the company's entire crop improvement strategy using breakthrough Boosted breeding technology.
Candidates will design and validate primary statistical models such as GBLUP and ssGBLUP to translate genotype and phenotype data into actionable insights.
This position requires expert-level proficiency in Python and a deep understanding of Bayesian statistics and mixed models for genetic evaluation.
Matching Summary
The role involves building the computational engine that drives the company's entire crop improvement strategy using breakthrough Boosted breeding technology.
Salary
Base: $150,000 - $200,000 per year; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Genomic prediction and GWAS modeling
Python scientific computing stack proficiency
Mixed models for genetic evaluation
Large-scale genomic data processing
Cross-functional collaboration with breeders
Nice-to-have
Experience with generative AI tools like Copilot
Proficiency in R for legacy statistical models
Knowledge of polyploid genetics modeling
Familiarity with cloud computing environments
Experience with workflow management tools
Key Requirements
M.S. or Ph.D. in Quantitative Genetics or related field
5+ years of hands-on experience in quantitative principles