1.       Breeding Data Analysis and
Interpretation

• Analyze breeding datasets.
  
• Conduct Multi Environment Trial (MET)
  and Genotype by Environment (G×E) analyses.
  
• Support genotype evaluation and
  advancement decisions.
  

2. Predictive Breeding and Decision Support

• Support trait prioritization and
  breeding decisions.
  
• Improve selection accuracy and
  breeding efficiency. 
  

3. Data Integration and Analytical Workflows

• Prepare analysis-ready datasets.
  
• Develop reproducible analytical
  workflows.
  
• Ensure data and output quality. 
  

4. Reporting, Communication and Capacity Strengthening

• Prepare reports, visualizations, and
  presentations.
  
• Communicate findings to breeding teams
  and partners.
  
• Support knowledge sharing and capacity
  development.
  

Requirements

• Master’s degree in Statistics,
  Biostatistics, Quantitative Genetics, Data Science, Agricultural Analytics,
  Applied Mathematics, or a related field.
  
• Strong knowledge of statistical
  modelling, experimental design, mixed models, and multi-environment trial
  analysis
  
• Proficiency in R