Biometrician at the International Institute of Tropical Agriculture (IITA)


The International Institute of Tropical Agriculture (IITA) is a not-for-profit institution that generates agricultural innovations to meet Africa’s most pressing challenges of hunger, malnutrition, poverty, and natural resource degradation. Working with various partners across sub-Saharan Africa, we improve livelihoods, enhance food and nutrition security, increase employment, and preserve natural resource integrity. IITA is a member of CGIAR, a global agriculture research partnership for a food secure future.

We are recruiting to fill the position below:

Job Title: Biometrician

Location: Ibadan, Oyo
Job Type: Full-time



  • Support One CGIAR breeding analytics process team in establishing standards for data quality and analytics.
  • Analyze large multi–year and multi–location data sets collected from trials in Africa using appropriate statistical software.
  • Advise IITA staff in planning field experiments and biophysical and socioeconomic surveys and data analysis.
  • Conduct independent data cleaning, exploratory data analysis, analytical and visualization support, presentations, and assigned tasks, including drafting of reports and methodology notes of analytics conducted.
  • Contribute to publish scientific articles in refereed journals documenting research progress.
  • Provide technical training in applied statistics and support scientists, visiting scientists, trainees, and national program scientists in team-based research projects.
  • Perform all other related duties as required by the needs of the Center.


  • Masters in Biostatistics, Data Science, Statistics or related field with a minimum of five (5) years experience performing similar role in a well-structured environment
  • Experience in machine learning and Cloud Computing using R Programming is added advantage.

The ideal candidate must:

  • Be experienced with exploratory data analysis, and/or data mining, text analytics, machine learning and big data processing techniques.
  • Have excellent programming/coding skills related to data collection, data management and analytics using statistical software (e.g., R, ASReml-R, Python, etc.).
  • Have good oral and written communication skills in English.


  • We offer highly competitive salaries with equally attractive benefits and excellent working conditions in a pleasant campus environment.

Application Closing Date
28th July, 2023.

Method of Application
Interested and qualified candidates should:
Click here to apply online


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