Research Assistant – Breeding Data Management
AI summary
IITA is hiring a Research Assistant for Breeding Data Management in Ibadan, Oyo, Nigeria on a 3-year renewable contract. The role supports the Breeding Data Manager in using the Enterprise Breeding System, curating breeding data, building Power BI dashboards, and applying data management standards. Candidates need a Bachelor’s or HND in a relevant field plus at least 2 years of experience in data management or agricultural research.
- 3-year renewable contract based in Ibadan, Oyo
- Focus on breeding data management and Enterprise Breeding System
- Requires Bachelor’s or HND plus 2 years’ relevant experience
- Strong Excel, R or Python, SQL, and Power BI skills needed
- Application deadline is 2nd October 2026
AI job guide
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AI salary guide
Source salary availableThe source lists Highly competitive salary with attractive benefits. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
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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 cleaning, internship, Research AssistantThe 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
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Research Assistant – Breeding Data Management evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to International Institute of Tropical Agriculture (IITA) and the role in Ibadan.
- Add concrete examples related to cleaning, internship, Research Assistant, ideally with measurable outcomes or clear responsibilities.
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Source and safety check
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- Deadline not specified
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Interview preparation
- What experience makes you a strong fit for this Research Assistant – Breeding Data Management role in cleaning, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Ibadan under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research International Institute of Tropical Agriculture (IITA) before the interview.
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Original source description
Job Title: Research Assistant – Breeding Data Management
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.
How to Apply
Interested and qualified candidates should apply below USING APPLY ONLINE NOW BUTTON
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