Sales Analyst Intern

Bayer (Schweiz) AG; New Jersey; Hybride; USD 30 000 - 65 000; Plein temps

Résumé du poste

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).

Responsabilités

• 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.

Connaissances

Python

R

Data analysis

AI/ML interest

Self-motivated

Formation

MS/PhD in plant science or computational discipline

Outils

OpenCV

YOLO

SAM/SAM2

Image annotation tools

Description du poste

# Plant Health Digital Phenomics InternChesterfield, Missouri, United StatesID: 884370---## Job Description| | | | | | || --- | --- | --- | --- | --- | --- || | | | --- | | | | | | | || **Plant Health Digital Phenomics Intern** | | | | || | | | | || | | | | |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.The internship is located in Chesterfield, MO and is 100% in‐person. The intern will have the opportunity to increase business acumen and professional development through in‐person and virtual networking opportunities throughout the term.**YOUR TASKS AND RESPONSIBILITIES**The primary responsibilities of this role include:* 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.**WHO YOU ARE**Bayer seeks an incumbent who possesses the following:Required Qualifications:* 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 (as specified in the full job description).Employees can expect to be paid a salary of approximately between $22.75 to $47.75. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.This posting will be available for application until at least March 19, 2027| | | | | || --- | --- | --- | --- | --- || | | | | || **YOUR APPLICATION** | | | | || | | | | || | | | | || --- | --- | --- | --- | --- || Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. | | | | || Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. | | | | || | | | | || Bayer is an E-Verify Employer. | | | | || | | | | || | | | | || | | | | || **Location:** | United States : Missouri : Chesterfield | | | || **Division:** | Crop Science | | | || **Reference Code:** | 884370 | | | |