Pre-Breeder Corn, Quantitative Genetics

Our client is a tropical vegetable seed business who has their global IHQ based in Thailand.  They're looking for a crop-specific researcher responsible for developing new traits and technologies to enhance the effectiveness and speed of a commercial breeding program. This role combines deep scientific expertise in quantitative plant genetics, predictive breeding, and data analytics with practical breeding applications, particularly focused on sweet and waxy corn product innovation. Your work will directly power scientific discovery to make an impact to the livelihood of millions of smallholder farmers world-wide. 

Responsibilities:

• Develop and implement genomic selection strategies and predictive models to optimize breeding outcomes
• Design robust field trials in collaboration with breeders, ensuring high-quality data collection and statistical rigor
• Analyze large-scale genotypic, phenotypic, and environmental datasets using advanced statistical and machine learning approaches
• Lead trait discovery and pre-breeding efforts, including marker development and introgression of traits from wild or exotic germplasm
• Align trait strategies with crop breeding managers and integrate technologies such as high-throughput phenotyping and environmental modeling
• Manage pre-breeding trials end-to-end, from crossing to data analysis, and oversee technical teams and resources
• Facilitate germplasm evaluation and global exchange to strengthen genetic diversity and innovation capacity
• Represent the breeding program in internal and external scientific forums and stay abreast of emerging trends in plant breeding technologies

Qualifications:

• PhD in plant breeding, genetics, or related field; or MSc with 3 years of relevant experience
• Strong foundation in quantitative genetics, genomic selection, and modern breeding approaches
• Proficient in R, Python, or similar tools for data analysis and predictive modeling
• Experience with large-scale datasets, machine learning, and statistical modeling
• Familiar with high-throughput phenotyping, NGS, and marker-assisted selection (MAS)
• Strong project management and problem-solving skills
• Excellent communicator with the ability to convey complex science clearly
• Collaborative, culturally adaptable, and team-oriented
• Passionate about innovation, impact-driven, and committed to scientific excellence