Get new jobs for this search by email

Join to apply for the

Junior Quantitative Geneticist, Predictive Breeding

role at

Jobright.ai 1 day ago Be among the first 25 applicants Join to apply for the

Junior Quantitative Geneticist, Predictive Breeding

role at

Jobright.ai Get AI-powered advice on this job and more exclusive features. Ohalo is a company focused on revolutionizing agriculture through innovative breeding technology. They are looking for a Quantitative Geneticist to lead the development of predictive systems that inform breeding decisions, utilizing a combination of genetics, data science, and engineering. Responsibilities: • Genomic Prediction & GWAS: Design, build, and validate the primary statistical models (e.g., GBLUP, ssGBLUP, GWAS) that form the foundation of our predictive capabilities, translating genotype and phenotype data into actionable insights. • Breeding Simulation: Evolve our in-house breeding simulation platform to run complex, large-scale scenarios. Your models will answer critical strategic questions about resource allocation, risk management, and the optimal path to achieve our breeding objectives. • Pipeline Optimization: Move beyond prediction to prescription. Design and implement online optimization models (e.g., using multi-armed bandits, online learning, metaheuristics) to create a self-improving system that dynamically allocates resources and maximizes the rate of genetic improvement. • Portfolio Management & Utility: Develop and integrate multi-trait utility functions that align our selection strategy with market needs and product profiles. You will help manage the entire breeding portfolio as a strategic asset. • Accelerate Research with AI: Act as a force multiplier by leveraging modern AI tools across the research lifecycle. This includes using LLMs for hypothesis generation, pioneering the use of genomic foundation models (e.g., Evo2), and using AI-assisted tools to write, debug, and document production-quality code. • Drive Cross-Functional Impact: Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine Learning Engineers (MLEs), and Data Engineers (DEs). Proactively translate breeding objectives into modeling requirements and ensure your solutions are seamlessly integrated into our operational workflows. • Uphold Statistical Rigor: Collaborate with fellow quantitative scientists to champion statistical integrity across the organization, from experimental design to model validation and interpretation. Qualifications: Required: • M.S. or Ph.D. in Quantitative Genetics, Statistical Genetics, Plant Breeding, Biostatistics, Operations Research, or a related computational field. • 2-5+ years of hands-on experience applying quantitative principles in a research or industry setting. • Expert-level proficiency in Python and its scientific computing stack (e.g., NumPy, SciPy, Pandas, Scikit-learn). • Demonstrable experience building modular, testable, and maintainable code. • Hands-on experience using generative AI tools (e.g., GitHub Copilot) to accelerate the development of scientific code. • Deep theoretical and practical understanding of mixed models for genetic evaluation (e.g., GBLUP, ssGBLUP). • Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference. • Familiarity with decision theory and online optimization frameworks (e.g., multi-armed bandits, Thompson sampling) for resource allocation. • Experience with or interest in applying genomic foundation models (e.g., Evo2, other LLM-like architectures) to learn from large-scale sequence data. • Experience with machine learning algorithms (e.g., XGBoost, Ridge Regression) as applied to genomic data. • A proven ability to work effectively in a cross-functional team. • Experience handling and processing large-scale genomic datasets (e.g., SNP arrays, sequencing data). Preferred: • Proficiency in R, particularly for reading and translating legacy statistical models (e.g., brms, sommer, ASReml). • Experience with workflow management tools (e.g., Nextflow, Snakemake). • Familiarity with cloud computing environments (GCP, AWS) and data warehousing technologies (e.g., BigQuery). • Knowledge of polyploid genetics and modeling. Company: To support a growing population efficiently, we need to shrink the land, water and energy footprint of our crops. Founded in 2019, the company is headquartered in Aptos, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Seniority level

Seniority level Entry level Employment type

Employment type Full-time Job function

Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job

Medical insurance Vision insurance 401(k) Get notified about new Geneticist jobs in

San Francisco Bay Area . San Francisco, CA $125,000.00-$150,000.00 2 days ago San Francisco, CA $94,760.00-$142,140.00 2 weeks ago Concord, CA $94,760.00-$142,140.00 2 weeks ago Oakland, CA $94,760.00-$142,140.00 2 weeks ago Senior Bioinformatics Scientist (Algorithm Development for MRD)

Sr. Bioinformatics Scientist – Cell Free DNA Technology Development

Fremont, CA $150,000.00-$190,000.00 3 weeks ago San Francisco, CA $88,817.00-$150,989.00 1 month ago San Francisco, CA $73,403.00-$124,784.00 1 month ago Business Development Lead/Vice President (Contract or FT positions available)

Bioinformatics Scientist II- Variant Calling

Palo Alto, CA $120,280.00-$194,600.00 2 weeks ago Bioinformatician/Research Data Analyst 1

Stanford, CA $82,468.00-$106,256.00 1 year ago Bioinformatician/Research Data Analyst 1

Stanford, CA $82,468.00-$106,256.00 8 months ago Bioinformatician/Research Data Analyst 1

Bioinformatician/Research Data Analyst 1

Senior Bioinformatics Data Scientist, MRD

Oakland, CA $110,000.00-$130,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr