Agronomic Data Science & Pathology Intern

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

### Job Details#### Job Title:Agronomic Data Science & Pathology Intern#### Location:,, ,#### Company:#### Industry Sector:#### Industry Type:#### Career Type:#### Job Type:Full Time#### Minimum Years Experience Required:N/A#### Salary:Competitive### Get Job Alerts**Career Type:****Country:** USAI agree to receive alerts from and to the .Your alert was created successfully.x## General Alert Saved* The listings below are jobs matching the criteria you've selected for your General Alert on.Criteria selected was:* General alert saved for .* General alert notifications will be sent weekly on Monday.* Please note that you can only have one general alert active at any given time. Creating a new general alert will override an existing general alert.* Visit the to manage your alerts# Agronomic Data Science & Pathology Intern| Number of Years Experience: | Minimum Education Completed: | || Education Major / Discipline Category: | Most Recent / Current Occupation: | |**Join Vylor - Powering the Future of Agriculture**Join us to help scale innovation globally and shape what's next in crop science.## What You\"ll Do:#### 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.]]>To apply please click on APPLY TO THIS POSITIONJob Post Date: 09/08/26Here are some other jobs you may be interested in applying for.| | || - | - || Vylor Des Moines, Iowa | Vylor Hedrick, Iowa || Vylor Des Moines, Iowa | |2 people are interested in this job.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.* 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