Data Science / Software Development Intern

Novonesis; Morrisville (NC); On-site; USD 33,000 - 44,000; Full time

Benefits offered by this job

Salary: $28/hr internship

Job summary

Novonesis seeks a graduate intern to develop a Python-based automated quality-control tool for field trial data at our Morrisville, NC facility. You will design checks to catch missing or erroneous data and build reports with actionable feedback for researchers.

Work with researchers and stakeholders to translate needs into a Django-based application, document usage, and support adoption across R&D teams.

Qualifications

• Pursuing an MS or Ph.D. in a relevant field; strong Python skills required.
• Experience with Pandas/NumPy and data analysis.
• Excellent problem-solving and communication skills.
• Interest in agriculture and digital transformation.
• Experience with ARM or agricultural field-trial data is a plus.

Responsibilities

• Develop a Python-based automated QC tool for field trial data.
• Design validation checks to identify missing, inconsistent, or erroneous data.
• Create user-friendly reports that summarize issues and suggest corrective actions.
• Collaborate with researchers to translate needs into technical solutions; document and support adoption.

Skills

Python programming

Pandas & NumPy

Problem solving

Communication

ARM field-trial data

Data visualization

Education

MS/PhD in Data Science or CS or Statistics or Bioinformatics or Agricultural Engineering

Tools

Django

Databases

Git / Version control

Job description

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.The Role & Your ImpactField 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.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.What You’ll Need to Be SuccessfulRequired qualificationsPursuing 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.Additional Skills & Interests We ValueExperience 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.What We OfferThis 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.Ways of Working / Working ConditionsFull-time internship assignment lasting approximately 10 weeks.Located on-site at our Morrisville, NC facility.Compensation & BenefitsExpected salary: $28/hrRelevant InformationProgram Dates: May 24th, 2027 to July 30th, 2027Position Type: Temporary position payrolled through a third-party providerApplication Deadline: October 30, 2026Our purpose guides the wayIn Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll 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 everyoneWe 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.Explore other openingsIf this position isn’t the right fit, you may still find other opportunities with us. You’re welcome to explore open roles or create a job agent to stay connected with future opportunities at novonesis.com/CareerWork Location: In person