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Quantitative Geneticist

South San Francisco, CA

USD 150K-200K Mid-level Full Time

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Found 1mo ago

Tasks

Apply genomic foundation models
Build breeding simulation platform
Collaborate with cross-functional teams
Design genomic prediction models
Develop Bayesian mixed models
Develop multi-trait utility functions
Ensure statistical rigor
Implement online optimization models
Integrate generative AI tools
Process genomic datasets
Run large scale breeding scenarios
Validate GWAS models

Perks/Benefits

N/A

Skills/Tech-stack

AWS | Bayesian statistics | BigQuery | Cloud Computing | Data Processing | GCP | GWAS | Gblup | Genomic data | Genomic data processing | Hierarchical models | LLMs | MCMC | Mixed Models | Multi-Armed Bandits | Nextflow | NumPy | Pandas | Python | R | Ridge regression | SNP Arrays | SciPy | Scikit-learn | Snakemake | SsGblup | Thompson Sampling | Variational Inference | XGBoost

Education

Master of Science | PhD

Roles

Geneticist | Quantitative Geneticist

Regions

Countries

States

Cities

South San Francisco, California, US

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