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World Agroforestry
🆕 New

Breeding Analytics & Decision Support Officer- CIMMYT Nairobi, Kenya CIMMYT · Local Position · Closes 7 September 2026

World Agroforestry

📍 Location

Nairobi, Kenya

💼 Type

Full-time

📅 Posted

about 21 hours ago

⏰ Deadline

31 Aug 2026

NGOSenior Level

Job Description

Breeding Analytics & Decision Support Officer- CIMMYT


Reference number: 202652


Job status: In-progress


Job category: Local Position


Duty station: Nairobi, Kenya


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Landscape Alliance

Landscape Alliance transforms science into action, unlocking the power of trees, forests and agroforestry landscapes to advance planetary health and human well-being. Landscape Alliance is the operating name of the Center for International Forestry Research (CIFOR) and the International Centre for Research on Agroforestry (ICRAF). CIFOR and ICRAF are independent International Organizations and CGIAR Research Centers.


Landscape Alliance is looking for a


Breeding Analytics & Decision Support Officer- CIMMYT


Overview


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To provide breeding analytics and decision-support for NNF project Applying modern tools to enhance precision and speed of dryland crops breeding, that translate phenotypic, genotypic, environmental, and related data into actionable insights for dryland crop breeding programs. The role supports multi-environment analysis, and data-driven decisions to improve breeding efficiency and accelerate genetic gain.


Duties and responsibilities


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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






Education, knowledge and experience


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•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

Terms and conditions


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•This is a Locally Recruited Staff (LRS) position. CIFOR-ICRAF offers a competitive remuneration package commensurate with experience and qualifications. In Kenya, employment contracts are issued under ICRAF in compliance with Kenyan labour law. Locally recruited staff are eligible for a non-contributory pension scheme, comprehensive medical insurance, paid annual and statutory leave, and learning and development opportunities in line with CIFOR-ICRAF policies.
•The appointment will be for a period of two (2) years, inclusive of a six-month probationary period, with the possibility of extension contingent upon performance, continued relevance of the position and available resources.
•The duty station will be in Nairobi, Kenya.

Application process


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The application deadline is 07 Sep 2026.


We will acknowledge all applications, but will contact only short-listed candidates.


Apply for this job


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How to Apply

Interested candidates should apply through the official World Agroforestry website. Only shortlisted candidates will be contacted. World Agroforestry does not charge any fees at any stage of recruitment.

Apply on Official Website →

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