Data Science / Software Development Intern

Novozymes North America • Morrisville, NC

3d • Onsite

About The Position

The Plant Biosolutions Applied Research team (PBARD) is seeking a highly motivated graduate student with a passion for software development, data science, and agriculture to develop an automated field trial data quality control tool that will improve the speed, accuracy, and consistency of data processing across our global field testing network. By the end of the internship, the successful candidate will deliver a functional prototype that automates field trial data quality review, helping PBARD improve efficiency, data integrity, and confidence in research decisions. Field trials generate large volumes of agronomic, biological, and environmental data that support product development, commercialization decisions, and innovation portfolio investments. You will design and develop a Python-based application that automates data quality review processes, identifies potential data issues, and provides actionable feedback to researchers before data are advanced into downstream analytics and decision-making workflows. The project will support PBARD's ongoing digital transformation efforts by reducing manual review time, improving data integrity, and enabling faster access to high-quality field trial results.

Requirements

• Pursuing an M.S. or Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, Agricultural Engineering, or a related field.
• Strong Python programming skills.
• Experience with data analysis libraries such as Pandas and NumPy.
• Excellent problem-solving and communication skills.

Nice To Haves

• Experience with ARM or agricultural field-trial data.
• Experience with experimental data analysis, machine learning, databases, data visualization tools, or Django-based Python application development.
• Interest in agriculture, biological research, or digital transformation.

Responsibilities

• Develop a Python-based automated quality control (QC) tool for field trial data.
• Design validation checks to identify missing, inconsistent, or potentially erroneous data.
• Create user-friendly reporting capabilities that summarize quality issues and recommend corrective actions.
• Partner with researchers and business stakeholders to translate operational needs into effective technical solutions.
• Document the application, support user adoption, and present project outcomes and recommendations to R&D leadership.

Benefits

• This internship offers the opportunity to apply software engineering and data science skills to a real-world business challenge while contributing directly to the future of sustainable agriculture.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern