The board
- Hours
- Part time
- Where
- Indianapolis, Indiana, United States
- Apply by
- End Date: October 10, 2026
- Posted
- Sep 4
Who are we, and what do we do?
Grow what’s next. Grow your future. Are you excited to contribute to innovative research that advances food security and sustainability? Corteva Agriscience is seeking students for full-time internships within our Research and Development organization in Indianapolis, Indiana. Interns will work closely with experienced scientists and technical experts in an industrial R&D setting, with opportunities to build skills, contribute to meaningful projects, and network across the company.
What You’ll Do:
We are looking for interns who can work effectively as part of a multidisciplinary team, contributing to the discovery and optimization of new chemical leads for insect, weed, and disease control.
What you'd do
- Molecular docking, virtual screening, structure-based design, molecular dynamics simulations, molecular property prediction, cheminformatics analyses, and the application of machine learning, deep learning, and other computational methods to identify and prioritize novel compounds.
- Work in a safe manner and embody Corteva’s safety culture.
- Demonstrate independent and creative thinking by making novel observations, interpreting data, and drawing sound scientific conclusions.
- Present project reviews throughout the summer and a final poster before colleagues and peers.
- Currently pursuing a Masters or Doctorate degree in computational chemistry, informatics, chemistry, chemical engineering, computer science, bioinformatics, or a related scientific discipline and possess strong problem-solving, communication, and teamwork skill.
- Must be able to relocate to Indianapolis, IN for the duration of the internship.
- Must be able to work full-time (40 hours per week) for at least 10 weeks during the timeframe of May to August.
- Coursework or research experience in molecular modeling, cheminformatics, molecular dynamics simulations, drug design, molecular mechanics, quantum mechanics, machine learning, scientific programming, or related computational methods would be beneficial.
- Starts
- 2026-09-04