Research Assistant – Breeding Data Management
AI summary
IITA is recruiting a Research Assistant for Breeding Data Management based in Ibadan, Oyo, Nigeria. The role supports the Breeding Data Manager in implementing the Enterprise Breeding System (EBS), curating breeding data, running R-based data cleaning and validation, and maintaining Power BI dashboards. It is a full-time, 3-year renewable contract requiring a Bachelor's degree or HND in a relevant field.
- Full-time, 3-year renewable contract at IITA in Ibadan, Oyo
- Supports Enterprise Breeding System (EBS) adoption and routine use
- Involves R scripts, data cleaning, validation, and reproducible reporting
- Maintains Power BI dashboards for breeding and data-quality monitoring
- Requires Bachelor's degree or HND in Data Science, Computer Science, Statistics, Agricultural Science, Plant Breeding, Bioinformatics, or IT
- Minimum of two years' relevant experience preferred
- Proficiency in Microsoft Excel and working knowledge of R or Python required
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- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in sales, security, cleaningThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in IbadanThe vacancy is associated with this location.
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Job Title: Research Assistant – Breeding Data Management
Research Assistant - Breeding Data Management at International Institute of Tropical Agriculture (IITA) | Jobs in Nigeria
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Research Assistant – Breeding Data Management at International Institute of Tropical Agriculture (IITA)
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Company:
International Institute of Tropical Agriculture (IITA)
Location: Nigeria
State:
Oyo Jobs
Job type: Full-Time
Job category:
Administrative/Secretarial Jobs in Nigeria
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
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.
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.
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.
Execute database queries and extract data into approved templates, reports, dashboards, and other formats based on clearly defined requirements.
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.
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.
Maintain appropriate documentation of data-curation activities, data uploads, analytical scripts, database queries, dashboard updates, quality-control results, user-support requests, and completed assignments.
Prepare periodic updates on completed activities, data-quality findings, analytical outputs, dashboard status, user-support needs, system-related challenges, and recommended follow-up actions.
Perform any other job-related duties that may be assigned by the Supervisor.
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:
Proficiency in Microsoft Excel, including formulas, pivot tables, data validation, lookups, and data-cleaning functions.
Working knowledge of R or Python for data cleaning, transformation, duplicate identification, descriptive statistics, visualization, and reproducible reporting.
Ability to develop, update, and maintain Power BI dashboards, including data preparation, data modeling, visualization, filtering, and routine refreshes.
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.
Familiarity with electronic data-collection tools, digital field books, standardized templates, trait dictionaries, crop ontologies, and phenotyping protocols.
Familiarity with the Enterprise Breeding System, BreedBase, BrAPI-enabled applications, or other breeding data-management platforms would be an advantage.
Ability to document scripts, data-processing procedures, quality-control checks, dashboard indicators, and user-support activities.
Remuneration
We offer highly competitive salary with equally attractive
Benefits
and excellent working conditions in a pleasant campus environment.
Application Closing Date
2nd October, 2026.
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