Responsibilities:
- Lead pre-breeding to introgress key traits from wild/exotic germplasm
- Develop and validate molecular markers and genomic tools for trait discovery
- Drive crop-specific research projects aligned with trait strategies
- Collaborate with Crop Breeding Managers to define and execute trait strategies
- Integrate advanced technologies (phenotyping, environmental modeling) into trials
- Evaluate and enrich diverse germplasm to strengthen breeding pipelines
- Facilitate germplasm exchange and knowledge sharing globally
- Oversee pre-breeding trials, ensuring data quality and experimental standards
- Supervise and train technical staff and field teams for trial execution
- Analyze large-scale genotypic, phenotypic, and environmental data for selection
- Apply genomic prediction and machine learning to improve breeding accuracy
- Represent the program at internal reviews, conferences, and global collaborations
- PhD in plant breeding, genetics, applied genomics, or MSc with ≥3 years relevant experience
- Strong foundation in quantitative genetics, genomic selection, and modern breeding methods
- Proficiency in R, Python, or similar platforms for data analysis and predictive modeling
- Experience with large-scale data, machine learning, and statistical modeling
- Familiarity with high-throughput phenotyping, NGS, and marker-assisted selection
- Demonstrated project management and problem-solving skills
- Excellent communication, able to translate complex science into actionable insights
- Collaborative, adaptable, purpose-driven, and motivated to deliver impactful outcomes

