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

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

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

  • 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

  • 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

The application deadline is 07 Sep 2026.

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

At Impactpool we do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead.
Before applying, please make sure that you have read the requirements for the position and that you qualify. Applications from non-qualifying applicants will most likely be discarded by the recruiting manager.