Agronomic Data Science & Pathology Intern — Impact Crops

Iowa Ag; Des Moines, Northern (IA, KY); Hybrid; USD 42,000 - 54,000; Full time

Job summary

Vylor Des Moines invites an Agronomic Data Science & Pathology Intern to join our R&D team focused on software-based agronomic solutions. You will work on data-rich projects involving crops like corn and soybeans, applying Python, statistics, and ML to model plant diseases and environmental interactions.

The role emphasizes collaboration with cross-functional teams, developing scalable code in Unix/Linux environments, and contributing to next-generation digital crop advisory tools.

Qualifications

• Enrollment in a Masters or Doctoral degree program in mathematics, statistics, plant pathology, data science, computer science or related agricultural engineering field is preferred.
• 3.5+ current cumulative GPA required.
• Hands-on experience with python, data analysis and statistics is required.
• Relevant experience using machine learning and mechanistic modelling approaches to solve complex problems with mixed variable datasets.
• Domain knowledge of plant pathology, epidemiology and biological systems.
• Ability to work effectively with cross-functional science and engineering teams and business partners.

Responsibilities

• Model, integrate, and analyze agricultural and weather data.
• Plant disease and pest management modeling in crops such as corn, soybeans and canola.
• Develop and execute Python code in high-performance distributed Unix/Linux computing environments.
• Work collaboratively on agile research teams to create innovative software solutions for growers.
• Design, develop, and support a variety of high-performance software solutions for R&D.
• Continuously learn and share your technical knowledge with key leaders and project stakeholders.

Skills

Python

Data analysis

Statistics

Machine learning

Plant pathology

Epidemiology

Cross-functional teamwork

Problem solving

Unix/Linux scripting

Education

Master's or PhD in a related field

Tools

Numpy

Pandas

scikit-learn

TensorFlow

Keras

Matplotlib

Kubernetes

AWS

RESTful APIs

Job description

Vylor Des Moines invites an Agronomic Data Science & Pathology Intern to join our R&D team focused on software-based agronomic solutions. You will work on data-rich projects involving crops like corn and soybeans, applying Python, statistics, and ML to model plant diseases and environmental interactions.

The role emphasizes collaboration with cross-functional teams, developing scalable code in Unix/Linux environments, and contributing to next-generation digital crop advisory tools.