# Plant Health Digital Phenomics Intern

**Company**: Crop Science
**Location**: Chesterfield, Missouri
**Work arrangement**: onsite
**Job type**: internship
**Salary**: $22.75 to $47.75
**Category**: IT
**Industry**: Healthcare

**Apply**: https://talent.bayer.com/careers/job/562949978488244?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e95f0efd-c10

## Description

In this 3-month internship, you will contribute to the success of the Breeding Plant Health team by building and validating controlled-environment digital phenomics solutions.

You will bridge plant pathology with digital innovation, applying image analysis, artificial intelligence, and data-driven approaches to transform disease phenotyping from manual visual scoring into high-throughput, automated, quantitative trait extraction that directly informs Bayer's breeding advancement decisions in row crops.

This role is ideal for a technology-savvy plant scientist passionate about combining plant health, agronomy, and quantitative data analysis to solve real-world biological challenges.

**Responsibilities:**

- Work alongside scientists in controlled-environment phenotyping and digital image/data analysis to support the Breeding Plant Health team across key patho-systems;

- Develop and validate automated image analysis pipelines (AI/ML) to extract disease and phenotypic traits from imagery, benchmarking results against manual scores and genomic prediction indices;

- Solve technical and operational challenges independently, drawing on prior experience and consultation with team members to complete experiments on time;

- Achieve commitment to safety and compliance, adhering to safety protocols and best practices in greenhouse, growth chamber, and lab environments.

**Requirements:**

- Currently pursuing a graduate degree (M.S. or Ph.D.) in a plant science discipline or a computational discipline (Computer Science, Computer Vision, Data Science, or Biosystems/Agricultural Engineering), with demonstrated interest at the intersection of crop health and digital/AI-driven analysis;

- Experience in controlled-environment research and plant disease digital phenotyping, with interest in applying AI/ML tools to crop health and breeding challenges;

- Experience with data analysis, statistical methods, and programming (Python, R, or similar) for processing and interpreting plant disease phenotyping datasets;

- Familiarity with computer vision, image analysis, or machine learning concepts, including image annotation, object detection, segmentation, or predictive modeling;

- Self-motivated and takes initiative to meet goals with minimal supervision; proven problem-solver;

- Willingness and ability to relocate for the 3-month internship to Chesterfield, MO.

**Preferred Qualifications:**

- Experience developing image segmentation, object detection, or classification pipelines using tools such as OpenCV, Segment Anything Model (SAM/SAM2), YOLO, or similar frameworks;

- Hands-on experience with image processing, computer vision, or related AI/ML workflows for plant disease or agronomic trait analysis.

**Benefits:**

- Salary of approximately between $22.75 to $47.75

- Additional compensation may include a bonus or commission

- Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc

## Skills

### Required
- plant science
- computer science
- data analysis
- image analysis
- machine learning
- python
- R
- computer vision

### Nice to have
- OpenCV
- Segment Anything Model (SAM/SAM2)
- YOLO
- image processing
- plant disease analysis

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Source: [Apply at talent.bayer.com](https://talent.bayer.com/careers/job/562949978488244?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)