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R&D Intern– Automation for I n-Vitro Mammalian Toxicology

Corteva Agriscience

Newark, Delaware, United StatesInternshipInternH-1B sponsor company
Sign in to applyVerified 2h ago
Location
Newark, Delaware, United States
Employment
Internship
Work model
On-Site
Level
Intern
H-1B history
15 approvals (FY2023)
Posted
Sep 3, 2026

Skills

Machine Learning

About this role

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 Newark, Delaware. 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:       The candidate will work as part of the Genetic and Molecular Toxicology group in a Good Laboratory Practice (GLP)-compliant facility .     Learn and support toxicity testing for plant production products (PPPs) under the supervision of a Principal Investigator.    The activities/duties will include hands on experience in the fields of in vitro and molecular toxicology; following and reviewing technical documents   Develop and evaluate automated machine learning approaches for analysis of high-content imaging datasets generated on the   Cellomics   CX7 platform.   Build automated image-processing workflows for identification, classification, and quantification of cellular endpoints.   Compare machine outputs with traditional manual analyses to assess performance, reproducibility, and accuracy.   Collaborate with assay scientists to   identify   opportunities for workflow improvement.   Document methods, results, and recommendations, and present findings to project teams at the conclusion of the internship.   Opportunity to work in a dynamic, exciting industry and   applying   scientific information for protection of human health.   Intern positions provide excellent experience that can be applied to   full time   positions in the industry, or in preparation for   additional   graduate level training in toxicology and human health sciences.       What Skills You Need:   Currently pursuing a Bachelors, Masters, or Doctorate degree in computational science, biomedical, life sc ience discipline or a related field     Strong interest in both biology and machine learning who is excited to apply automation tools to real-world toxicology challenges and image-based assay development.   Organized with attention   to detail and ability to work on multiple projects   Strong technical data and communication skills,   curiosity   and willingness to interact with stakeholders , problem -solving mindset.   Preference will be given to   student   with a minimum GPA of 3.0.   Must be able to   relocate   to Newark, Delaware 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.   Must be enrolled at an accredited university at the time of internship. Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience 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.

Listing verified 2h ago. Applications go through the company's official careers site.

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R&D Intern– Automation for I n-Vitro Mammalian Toxicology at Corteva Agriscience, Newark, Delaware, United States | Yoinka