Research Assistant - Breeding Data Management
AI summary
IITA is hiring a Research Assistant for Breeding Data Management in Ibadan, Oyo, on a 3-year renewable contract. The role involves managing breeding databases, supporting electronic data capture, curating germplasm and trait data, maintaining Power BI dashboards, and using R or Python for data cleaning and reporting within the Enterprise Breeding System.
- 3-year renewable contract at a leading agricultural research institute
- Based in Ibadan, Oyo State, Nigeria
- Focus on breeding data management and Enterprise Breeding System support
- Requires Bachelor's or HND plus 2 years' relevant experience
- Involves Power BI dashboards, R/Python scripting, and data curation
AI job guide
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AI salary guide
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- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, cleaning, internshipThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in IbadanThe vacancy is associated with this location.
- UnclearComfort with the Fixed Term contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
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- Place your strongest Research Assistant - Breeding Data Management evidence in the first half of your CV.
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Interview preparation
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Original source description
Job Title: Research Assistant - Breeding Data Management
Research Assistant - Breeding Data Management at International Institute of Tropical Agriculture (IITA)
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Sep 18, 2026, 8:18 AM
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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 ID: IITA/P&C/NRS2026-060
Location: Ibadan, Oyo
Contract: 3-year renewable contract
Duties
Execute database queries and extract data into approved templates, reports, dashboards, and other formats based on clearly defined requirements.
Apply institutional and international research data management standards and best practices, including crop ontologies, trait dictionaries, standard phenotyping protocols, data-quality rules, controlled vocabularies, templates, and digital field books.
Assist breeding teams with electronic data capture, including the preparation, testing, and validation of digital field books and data-collection templates.
Curate essential breeding data, including locations, traits, germplasm records, pedigrees, experimental metadata, and germplasm attributes, before loading them into EBS.
Support the Breeding Data Manager in the adoption, implementation, and routine use of the Enterprise Breeding System (EBS) for storing, managing, retrieving, and reporting breeding information.
Use R scripts or other reproducible tools for data cleaning, validation, duplicate identification, germplasm matching, site curation, data transformation, and routine reporting across breeding datasets.
Perform any other job-related duties that may be assigned by the Supervisor.
Prepare periodic updates on completed activities, data-quality findings, analytical outputs, dashboard status, user-support needs, system-related challenges, and recommended follow-up actions.
Maintain appropriate documentation of data-curation activities, data uploads, analytical scripts, database queries, dashboard updates, quality-control results, user-support requests, and completed assignments.
Update and maintain Power BI dashboards for monitoring breeding activities, data quality, phenotypic-data completeness, germplasm information, experimental metadata, training activities, and other agreed performance indicators.
Requirements
Bachelor’s Degree or Higher National Diploma in Data Science, Computer Science, Statistics, Agricultural Science, Plant Breeding, Bioinformatics, Information Technology, or a related discipline with a minimum of two (2) years’ of relevant
Experience
in data management, database support, agricultural research, breeding-data management, or a related field will be an added advantage.
Competencies:
The ideal candidate must have:
Familiarity with electronic data-collection tools, digital field books, standardized templates, trait dictionaries, crop ontologies, and phenotyping protocols.
Proficiency in Microsoft Excel, including formulas, pivot tables, data validation, lookups, and data-cleaning functions.
Ability to develop, update, and maintain Power BI dashboards, including data preparation, data modeling, visualization, filtering, and routine refreshes.
Ability to document scripts, data-processing procedures, quality-control checks, dashboard indicators, and user-support activities.
Working knowledge of R or Python for data cleaning, transformation, duplicate identification, descriptive statistics, visualization, and reproducible reporting.
Familiarity with the Enterprise Breeding System, BreedBase, BrAPI-enabled applications, or other breeding data-management platforms would be an advantage.
Working knowledge of SQL and the ability to query relational databases, extract required information, and populate approved reporting templates.
Ability to perform basic descriptive and exploratory analyses, including frequencies, means, ranges, measures of variability, missing-data assessments, and comparisons across trials, locations, seasons, and breeding pipelines.
Remuneration
We offer highly competitive salary with equally attractive
Benefits
and excellent working conditions in a pleasant campus environment.
How to Apply
Interested and qualified candidates should:
Click here to apply online
Application
Deadline:
2nd October, 2026.
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Oyo State