The primary responsibilities of this role are to analyze and interpret imagery and metrics generated from field trial data using advanced machine learning and computer vision techniques. The position also involves supporting experimental design and conducting agronomic assessments using UAV, remote sensing, and manual methods. Collaboration with field testing and data science partners is essential to integrate digital phenotyping insights. Additionally, the role contributes to system and workflow improvements by applying creativity and problem-solving to large-scale data challenges.