Data Science Software Development Intern

Interested in a career that matters

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 PBARDs ongoing digital transformation efforts by reducing manual review time improving data integrity and enabling faster access to high-quality field trial results.

Key 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.

Required qualifications

• 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.

• 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.

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.

• Full-time internship assignment lasting approximately 10 weeks.
• Located on-site at our Morrisville NC facility.

Expected salary: $28/hr

Program Dates: May 24th 2027 to July 30th 2027

Position Type: Temporary position payrolled through a third-party provider

Application Deadline: October 30 2026

Our purpose guides the way

In Novonesis we know that solutions rooted in biology can help solve humanitys biggest challenges. Since we began more than a century ago this has been our guide. Its how weve gotten so far. And its how well impact the future. Now more than ever the world needs change. And with biosolutions the possibilities for transformation are endless. If our purpose resonates with you we encourage you to apply.

Opportunities for everyone

We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying.

We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds including ethnicity religion gender sexual orientation age disability or veteran status.

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