Consultant - Data Analysis and Biometrics Support, Dryland Crops Program

About the role

It is entrusted with fostering improved quantity, quality, and dependability of production systems and basic cereals such as maize, wheat, triticale, sorghum, millets, and associated crops through applied agricultural science, particularly in the Global South, through building strong partnerships.

What you'll do

• Review and organize breeding trial datasets received from different crops, locations, partners, and seasons
• Conduct data quality checks, including review of trial design, trait structure, missing values, outliers, plot-level inconsistencies, genotype naming, location metadata
• Conduct appropriate statistical analyses for breeding trials, including single-site analysis, across-location analysis
• Generate analysis outputs required for product advancement, breeder review, reporting, and decision-making
• Cleaned analysis-ready datasets: Curated datasets prepared for statistical analysis, with documented changes and assumptions

What you need

• 5–6 yrs of experience
• Data analysis
• R
• Python
• Excel
• Statistics
• Any graduate