About the Role The Statistician and Data Scientist provide quantitative and analytical support to the Variety Development program through the application of advanced statistical methods and data science techniques. The role focuses on delivering high-quality analyses of breeding trials, genomic data, and research experiments to inform selection decisions. It also contributes to the development of new analytical approaches and reporting tools. Key Responsibilities Not provided in the original posting. Your Requirements Essential Qualifications Tertiary qualification in statistics, quantitative genetics, data science, or a related discipline. Demonstrated experience in advanced statistical analysis, including mixed models, multi-environment trial analysis, spatial modelling, and other quantitative genetics methods. Strong capability in analysing high-dimensional or large-scale datasets using machine learning, and other advanced analytical methods. Demonstrated advanced proficiency in data analysis programming languages such as R, SAS, or Python. Experience using modern data reporting and visualisation tools, such as Shiny or Dash. Proficiency in SQL and database systems for data extraction and management. Desirable Qualifications Experience with genomic analysis methods such as GWAS or genomic selection. Postgraduate qualification (Masters or PhD) in a relevant field such as quantitative genetics, biometrics, or computational biology. Further Information Position is permanent and ongoing. Some intra‑ and inter‑state travel may be required. #J-18808-Ljbffr