Agronomic Data Science & Pathology Intern

Vylor; Johnston (IA); On-site; USD 28,000 - 41,000; Part time

Job summary

Vylor in Johnston, IA is seeking an Agronomic Data Science & Pathology Intern to join our fast-paced R&D team. You will model and analyze agricultural and weather data, develop Python code for high-performance Unix/Linux environments, and collaborate on agile projects to create software solutions for growers.

Ideal candidates are enrolled in a Masters or PhD in math, statistics, plant pathology, data science, or CS with a 3.5+ GPA, strong problem-solving, and hands-on Python data analysis

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 GPA
• Hands-on experience with python, data analysis and statistics is required.
• Experience with ML and mechanistic modelling for mixed datasets is a plus.
• Affinity with agriculture, pathology, epidemiology and biological systems is beneficial.

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 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 leaders and stakeholders

Skills

Python

Data analysis

Statistics

Machine learning

Mechanistic modeling

Plant pathology

Epidemiology

Biological systems

Cross-functional teamwork

Education

Masters or Doctoral degree program in relevant field

Tools

Numpy

Pandas

Sklearn

TensorFlow

Keras

Matplotlib

Kubernetes

AWS

RESTful API Services

Job description

Join Vylor—Powering the Future of Agriculture

At Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer®, Brevant®, and Hoegemeyer®, delivering performance farmers rely on.

Join us to help scale innovation globally and shape what’s next in crop science.

Vylor is seeking an Agronomic Data Science & Pathology Intern to join our fast-paced research & development team that is using leading edge technologies to advance software-based agronomic solutions for growers around the globe. As an intern at Vylor, you will have a unique opportunity to learn, grow, and expand your knowledge as you help research and develop the digital crop advisor of tomorrow. Experience with plant pathology and coding in python is essential for this position. Applicants should also have a drive for excellence, excel in using creative approaches to solving complex problems, and possess an innovative mindset. Strong applicants will have completed courses or projects involving data science and/or statistical analysis and modelling. Affinity with agriculture, pathology, epidemiology and biological systems is an advantage.

What You'll Do

• Model, integrate, and analyze agricultural and weather data
• Plant disease and pest management modeling in crops such as corn, soybeans and canola, etc
• 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 You'll Need

• 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
• Excellent problem-solving skills using creative approaches
• 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
• Not required, but preferred technology experiences: Numpy, Pandas, Sklearn, TensorFlow, Keras, Matplotlib, Kubernetes, Amazon Web Services (AWS), RESTful API Services

Corteva announced to separate our current advanced seed and genetics business to establish a standalone company, operating as Vylor, Inc. The process of the planned separation is anticipated to be completed the fourth quarter of 2026, subject to legal requirements and board approval. Should you accept this position, it is anticipated that, following conclusion of the separation, you would be an employee of Vylor, Inc. and your employment would be governed by Vylor, Inc. employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by Vylor, Inc. at an appropriate time and subject to any necessary consultation processes.

Vylor is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.