Consultant; Locally
Listed on 2026-10-09
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Research/Development
Data Scientist -
IT/Tech
Data Scientist, Data Analyst
CIMMYT is a cutting edge, non-profit, international organization dedicated to solving tomorrow's problems today. 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. This combination enhances the livelihood trajectories and resilience of millions of resource-poor farmers, while working towards a more productive, inclusive, and resilient agrifood system within planetary boundaries.
For more information, visit cimmyt.org.
The CIMMYT Dryland Crops Program supports crop improvement activities across sorghum, pearl millet, finger millet, chickpea, pigeonpea, and groundnut. The program generates and manages large volumes of breeding, phenotyping, and multi-location trial data that require timely, high quality, and reproducible analysis to support product advancement, selection decisions, reporting, and strategic planning.
To strengthen data analysis support for the Dryland Crops Program, CIMMYT seeks an experienced Consultant – Data Analysis and Biometrics Support to contribute to statistical analysis, data quality control, reporting, and documentation of breeding trial datasets.
Requirements Objective of the consultancyThe objective of this consultancy is to provide technical support to CIMMYT-DCP in the analysis of breeding trial data, ensuring that datasets are quality checked, analyzed using appropriate statistical methods, and translated into clear outputs for breeder decision-making and program reporting.
Scope of workThe consultant will work closely with the CIMMYT quantitative genetics, biometrics, data management, and breeding teams to support the following areas:
Curated datasets prepared for statistical analysis, with documented changes and assumptions.
Analysis outputs for assigned single-location trials, including adjusted means or relevant model outputs, summary statistics, trait-level diagnostics, and interpretation notes.
Across-location analysis outputs for assigned datasets, including genotype performance summaries, variance…
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