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Job Description
Data analysis consultant supporting CIMMYT’s Dryland Crops Program. Applying biometrics, mixed models, and reproducible R/Python workflows to crop breeding trials.
Responsibilities:
- 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:
- 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:
- 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
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