The International Institute of Tropical Agriculture (IITA) is one of the world's leading research partners in finding solutions for hunger, malnutrition, and poverty. Our award-winning research for development (R4D) addresses the development needs of tropical countries. We work with partners to enhance crop quality and productivity, reduce producer and consu...
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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.
QUALIFICATION:
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.
COMPETENCIES:
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.
Benefits
We offer highly competitive salaries with equally attractive benefits and excellent working conditions in a pleasant campus environment.
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