
1001 - 5000 employees
Founded 1966
🍽️ Food & Beverage
💼 Consulting
🏥 Healthcare
Food & Beverage • Consulting • Healthcare
International Maize and Wheat Improvement Center (CIMMYT) is a cutting-edge, non-profit international organization dedicated to improving agricultural systems and food security globally. The organization focuses on genetic resources, sustainable agrifood systems, climate adaptation, environmental health, and social inclusion, with an emphasis on maize and wheat crops. CIMMYT collaborates with various partners, including the Novo Nordisk Foundation, to advance sustainable agriculture and food security in countries around the world, particularly in the Global South. Through initiatives and research programs, CIMMYT works towards gender equality, youth empowerment, and poverty reduction while promoting nutrition, health, and biodiversity.
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1001 - 5000 employees
Founded 1966
🍽️ Food & Beverage
💼 Consulting
🏥 Healthcare
Food & Beverage • Consulting • Healthcare
International Maize and Wheat Improvement Center (CIMMYT) is a cutting-edge, non-profit international organization dedicated to improving agricultural systems and food security globally. The organization focuses on genetic resources, sustainable agrifood systems, climate adaptation, environmental health, and social inclusion, with an emphasis on maize and wheat crops. CIMMYT collaborates with various partners, including the Novo Nordisk Foundation, to advance sustainable agriculture and food security in countries around the world, particularly in the Global South. Through initiatives and research programs, CIMMYT works towards gender equality, youth empowerment, and poverty reduction while promoting nutrition, health, and biodiversity.
• Review and organize breeding trial datasets from different crops, locations, partners, and seasons • Conduct data quality checks covering trial design, traits, missing values, outliers, plot-level inconsistencies, genotype naming, location metadata, and treatment information • Clean and prepare datasets for statistical analysis according to CIMMYT workflows • Conduct single-site, across-location, and adjusted means or BLUP statistical analyses where applicable • Generate outputs for product advancement, breeder review, reporting, and decision-making • Document analysis procedures, scripts, assumptions, and outputs for reproducibility and handover • Support harmonization of analysis outputs across crops and projects • Participate in technical check-ins with CIMMYT-DCP staff • Deliver data inventories, QC reports, cleaned analysis-ready datasets, trial-level and multi-location analysis outputs, breeder-ready Excel/CSV files, reproducible R/Python scripts, monthly progress summaries, and a final consultancy report • Maintain confidentiality of CIMMYT and partner data • Follow CIMMYT-DCP data management standards, including organized folder structures, version control, documentation, and FAIR-aligned data handling
• PhD in quantitative genetics, biometrics, statistics or a related field • At least 5–6 years of relevant experience in plant breeding data analysis, quantitative genetics, or biometrics • Demonstrated experience analyzing multi-location crop breeding trials, selection indices, and generating templates for advancement decisions • Strong working knowledge of alpha lattice, randomized complete block design, augmented design, and multi-environment trials • Strong skills in R and/or Python for data cleaning, statistical analysis, automation, and reproducible reporting • Experience with mixed models, BLUPs/BLUEs, genotype-by-environment analysis, trait summaries, and breeder-oriented reporting • Experience working with CGIAR, NARES, seed systems, or international agricultural research programs is highly desirable • Familiarity with breeding data systems, BioFlow, FAIR data principles, and structured data management practices is desirable • Excellent written and verbal communication skills in English • Ability to work independently, meet deadlines, and deliver high-quality outputs with limited supervision • Applicants must have the legal right to work in India at the time of application • CV with contact details of 3 work-related references and a cover letter required
• Initial consultancy period of 3 months • Estimated level of effort of up to 20 working days per month • Equal opportunity employer • Multicultural work environment valuing gender equality, teamwork, and respect for diversity • Women are encouraged to apply
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