AI-Driven Plant Health Phenomics Intern

Bayer (Schweiz) AG; New Jersey; Hybrid; USD 30,000 - 65,000; Full time

Job summary

Bayer invites applications for a 3-month Plant Health Digital Phenomics Intern position in Chesterfield, MO. You will build AI-driven image analysis pipelines to extract disease traits and support breeding decisions in row crops.

Ideal candidates are pursuing an MS/PhD in plant science or computational fields, with experience in controlled environments and Python/R data workflows. This in-person internship emphasizes collaboration and safety in lab and greenhouse settings.

Qualifications

• Pursuing MS or PhD in plant science or computational field.
• Experience in controlled-environment research and digital phenotyping.
• Proficiency in Python, R, or similar for data analysis.
• Familiar with computer vision concepts (annotation, object detection, segmentation).

Responsibilities

• Develop and validate automated image analysis pipelines for disease phenotyping.
• Benchmark AI/ML results against manual scores and genomic indices.
• Collaborate with Breeding Plant Health team to meet project milestones.
• Ensure safety and compliance in greenhouse and lab environments.

Skills

Python

R

Data analysis

AI/ML interest

Self-motivated

Education

MS/PhD in plant science or computational discipline

Tools

OpenCV

YOLO

SAM/SAM2

Image annotation tools

Job description

Bayer invites applications for a 3-month Plant Health Digital Phenomics Intern position in Chesterfield, MO. You will build AI-driven image analysis pipelines to extract disease traits and support breeding decisions in row crops.

Ideal candidates are pursuing an MS/PhD in plant science or computational fields, with experience in controlled environments and Python/R data workflows. This in-person internship emphasizes collaboration and safety in lab and greenhouse settings.