Genomics AI/ML Scientist for Crop Trait Discovery

Syngenta; Durham (NC); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, Dental & Vision

401(k) with company match

Paid vacation

Paid holidays

Education assistance

Wellness programs

Job summary

Syngenta seeks a Translational Genomics AI/ML Scientist in Durham, NC to develop next-generation computational capabilities that connect genomics, ML, and biological interpretation to crop research and breeding decisions.

The successful candidate will transform large-scale genomics and phenotypic data into predictive models and reusable digital tools that accelerate trait discovery and genomic prediction across Seeds R&D.

Qualifications

• PhD in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, ML, Statistics, Applied Mathematics, or related field.
• Strong background in genomics, quantitative genetics, population genetics, or computational biology.
• Demonstrated expertise in machine learning and statistical modeling with proficiency in Python and scientific computing.
• Experience working with large-scale biological datasets.
• Strong publication or research track record in computational genomics, AI/ML, or a related field.
• Excellent communication and collaborative problem-solving skills.

Responsibilities

• Lead AI/ML-enabled genomics capabilities that translate large-scale genomic, phenotypic, and biological datasets into actionable insights for trait discovery, genomic prediction, and breeding decisions.
• Develop, validate, and operationalize advanced computational methods, including graph machine learning, foundation models, knowledge graphs, and explainable AI approaches.
• Build scalable bioinformatics and machine-learning workflows that integrate genomic variation, annotations, expression data, pathways, phenotypes, and literature-derived evidence across cloud and enterprise data platforms.
• Advance computational genomics approaches by creating scalable representations, feature-engineering strategies, and predictive models that capture biological complexity and support research decision-making.
• Partner with geneticists, breeders, molecular biologists, data scientists, software engineers, and product teams to translate complex biological questions into practical analytical solutions.
• Communicate methods, assumptions, results, limitations, and biological interpretation clearly to technical and non-technical stakeholders, enabling confident scientific decision-making.
• Drive innovation by identifying emerging AI/ML, genomics, and scientific-computing approaches that can accelerate discovery, improve predictive performance, and strengthen Syngenta’s digital genomics platforms.
• Ensure solutions follow good scientific, data governance, engineering, and reproducibility practices, including clear documentation, version control, model validation, and transparent handover to collaborators or product teams.

Skills

Python

Machine Learning

Genomics

Communication

Collaboration

Education

PhD in Bioinformatics/Computational Biology/Genomics/CS

Tools

Graph ML

AWS

Job description

Syngenta seeks a Translational Genomics AI/ML Scientist in Durham, NC to develop next-generation computational capabilities that connect genomics, ML, and biological interpretation to crop research and breeding decisions.

The successful candidate will transform large-scale genomics and phenotypic data into predictive models and reusable digital tools that accelerate trait discovery and genomic prediction across Seeds R&D.