Consultant

International Maize and Wheat Improvement Center (CIMMYT)

. Review and organize breeding trial datasets from different crops, locations, partners, and seasons .

Posted 9/24/2026contractRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative genetics and biometrics, with strong capabilities in data analysis, statistical modeling, and reproducible reporting using R and Python. Proficient in managing and analyzing multi-location crop breeding trials while adhering to CIMMYT data management standards.

Highest-signal resume keywords

PhD In Quantitative GeneticsR And/or Python ProficiencyMulti-Location Crop Breeding AnalysisExperience With Mixed ModelsStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality ChecksStatistical AnalysisData CleaningBLUP Statistical AnalysesGenotype-By-Environment AnalysisTrait SummariesReproducible ReportingTrial Design KnowledgeData Management PracticesDocumentation Procedures

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationAbility To Work IndependentlyDeadline ManagementAttention To Detail

Tools & Technologies

BioFlowFAIR Data PrinciplesExcelCSV FilesVersion Control

Industry Keywords

Plant BreedingQuantitative GeneticsBiometricsCGIARNARESInternational Agricultural Research

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Review and organize breeding trial datasets from different crops, locations, partners, and seasons
Conduct data quality checks covering trial design, traits, missing values, outliers, plot-level inconsistencies, genotype naming, location metadata, and treatment information
Clean and prepare datasets for statistical analysis according to CIMMYT workflows
Conduct single-site, across-location, and adjusted means or BLUP statistical analyses where applicable
Generate outputs for product advancement, breeder review, reporting, and decision-making
Document analysis procedures, scripts, assumptions, and outputs for reproducibility and handover
Support harmonization of analysis outputs across crops and projects
Participate in technical check-ins with CIMMYT-DCP staff
Deliver data inventories, QC reports, cleaned analysis-ready datasets, trial-level and multi-location analysis outputs, breeder-ready Excel/CSV files, reproducible R/Python scripts, monthly progress summaries, and a final consultancy report
Maintain confidentiality of CIMMYT and partner data
Follow CIMMYT-DCP data management standards, including organized folder structures, version control, documentation, and FAIR-aligned data handling

Requirements

What you’ll need

PhD in quantitative genetics, biometrics, statistics or a related field
At least 5–6 years of relevant experience in plant breeding data analysis, quantitative genetics, or biometrics
Demonstrated experience analyzing multi-location crop breeding trials, selection indices, and generating templates for advancement decisions
Strong working knowledge of alpha lattice, randomized complete block design, augmented design, and multi-environment trials
Strong skills in R and/or Python for data cleaning, statistical analysis, automation, and reproducible reporting
Experience with mixed models, BLUPs/BLUEs, genotype-by-environment analysis, trait summaries, and breeder-oriented reporting
Experience working with CGIAR, NARES, seed systems, or international agricultural research programs is highly desirable
Familiarity with breeding data systems, BioFlow, FAIR data principles, and structured data management practices is desirable
Excellent written and verbal communication skills in English
Ability to work independently, meet deadlines, and deliver high-quality outputs with limited supervision
Applicants must have the legal right to work in India at the time of application
CV with contact details of 3 work-related references and a cover letter required

Benefits

Comp & perks

Initial consultancy period of 3 months
Estimated level of effort of up to 20 working days per month
Equal opportunity employer
Multicultural work environment valuing gender equality, teamwork, and respect for diversity
Women are encouraged to apply