Research Associate (in Plant Breeding)

IITA - International Institute of Tropical Agriculture | Oyo, Nigeria

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About the Role

The International Institute of Tropical Agriculture (IITA) is seeking a dynamic and dedicated Research Associate in Plant Breeding to join our premier research-for-development team. In this role, you will contribute directly to enhancing food security, improving livelihoods, and addressing agricultural challenges across sub-Saharan Africa through cutting-edge crop research.

Key Responsibilities
  • Conduct field-testing across various stages of breeding lines and populations to evaluate performance.
  • Create studies in EBS, collect accurate field data, and upload information in a timely manner.
  • Assist in leaf sampling for genotyping and prepare seeds for grain quality and disease resistance screenings.
  • Curate, collect, and analyze research data while drafting comprehensive reports and scientific publications.
  • Ensure the digitization and barcoding of breeding nurseries, trials, and seed inventories.
  • Supervise technical staff and field laborers on a daily basis to maintain operational excellence.
  • Contribute to degree and non-degree capacity-building training programs.
Qualifications
  • Master of Science (MSc) degree in Genetics and Plant Breeding or a closely related discipline.
  • Minimum of three (3) years of relevant experience in designing and implementing experimental agricultural research.
  • Demonstrated competence in statistical analysis of research data using advanced tools such as R.
  • Practical experience in cereal crop breeding, physiology, and marker-assisted breeding or genomic selection.
  • Strong communication, organizational, and interpersonal skills with the ability to thrive in a multicultural environment.
Benefits

IITA offers a highly competitive remuneration package, attractive benefits, and excellent working conditions within a pleasant, collaborative, and professional campus environment.

Skills

Plant Breeding Genetics Statistical Analysis Data Collection R Programming Crop Physiology Genomic Selection
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