Quantitative Genomics Scientist – Data-Driven Plant Breeding

Sugar Research Australia Ltd.; Australia; Hybrid; AUD 120,000 - 170,000; Full time

Job summary

Sugar Research Australia Ltd. is seeking a Quantitative Genomics Scientist to drive genomics-driven computational breeding, integrating high-dimensional genomic and phenotypic data to inform selection decisions across the breeding pipeline.

You will build reproducible analysis pipelines in R and Python, translate multi-omics findings into trait predictions, crossing strategies, and simulations, and contribute to crop improvement programs in sugarcane or polyploid crops.

Qualifications

• Ph.D. required in a quantitative field related to genetics or breeding.
• 3+ years postdoc/industry experience in quantitative genetics, genomics or computational biology.
• Experience translating computational findings into breeding outcomes.

Responsibilities

• Develop and deploy genomics-driven computational breeding pipelines.
• Translate multi-omics data into trait prediction models, crossing strategies and simulations.
• Collaborate with breeding programs to apply computational results to practical decisions.
• Build reproducible analytical pipelines using R and Python.

Skills

R/Python

Genomics data handling

Statistical modelling

Education

Ph.D. in Quantitative Genetics / Plant Breeding / Genomics

Job description

Sugar Research Australia Ltd. is seeking a Quantitative Genomics Scientist to drive genomics-driven computational breeding, integrating high-dimensional genomic and phenotypic data to inform selection decisions across the breeding pipeline.

You will build reproducible analysis pipelines in R and Python, translate multi-omics findings into trait predictions, crossing strategies, and simulations, and contribute to crop improvement programs in sugarcane or polyploid crops.