Intelligent Automation Intern

Corteva Agriscience

Johnston (IA)

On-site

USD 25,000 - 34,000

Full time

8 days ago
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Job summary

Vylor, Inc. seeks an Intelligent Automation Intern to drive digital transformation in Regulatory and Stewardship (RAS) and Regulatory Sciences (RegSci).

You will explore Agentic AI, intelligent automation, and analytics to improve regulatory workflows and scientific processes. The six-month internship offers hands-on experience developing automation solutions, dashboards, and training materials while collaborating with cross-functional stakeholders to reduce manual effort and accelerate decision

Qualifications

  • Currently pursuing or recently completed a Bachelor's or Postgraduate degree in Computer Science, Data Science, Computational Biology, Information Systems, Software Engineering, or related disciplines
  • Understanding of intelligent automation concepts, agentic AI systems, business process improvement methodologies, data analytics, and informatics
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently and collaboratively in a cross-functional environment
  • Proven record of collaboration in a team environment
  • Minimum GPA of 3.0

Responsibilities

  • Research emerging technologies including Agentic AI, Generative AI, intelligent automation, data science, and informatics
  • Develop business applications
  • Create dashboards, reports, and analytics solutions
  • Build and enhance collaboration, knowledge sharing, and process management tools
  • Assist with automation pilots and implementation projects
  • Create training materials and demos to support adoption of automation in RAS
  • Present recommendations and findings to stakeholders
  • Example developments: regulatory dossier creation and assembly, regulatory review workflows, protein and molecular data analysis, scientific data processing and visualization, knowledge management

Skills

Intelligent automation concepts
Agentic AI systems
Business process improvement
Data analytics
Informatics
Analytical skills
Communication skills
Team collaboration

Education

Bachelor's or postgraduate degree in CS/DS/Computational Biology/IS/Software Eng
Minimum GPA 3.0

Tools

Microsoft Power Platform
Power Apps
Power BI
Power Automate
Copilot Studio
SharePoint
AWS Lambda
AWS EC2
AWS Bedrock

Job description

Join Vylor—Powering the Future of Agriculture

At Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer®, Brevant®, and Hoegemeyer®, delivering performance farmers rely on.

Join us to help scale innovation globally and shape what’s next in crop science.

Vylor is seeking a curious, innovative, and technically skilled Intelligent Automation Intern to support Regulatory and Stewardship (RAS) and Regulatory Sciences (RegSci), in driving digital transformation through artificial intelligence, intelligent automation, and advanced analytics.

This six-month internship provides hands‑on experience developing automation solutions that enhance regulatory operations and scientific workflows. Interns will work closely with technical stakeholders to identify opportunities for process improvement and implement solutions that reduce manual effort, improve data quality, and accelerate decision making.

The intern will assist in introducing new automation concepts and emerging technologies while helping RAS teams in enabling AI within their workflows.

This is for you if you would like to contribute to the digital transformation strategy of Vylor Regulatory & Stewardship functions and are interested in working on real‑world regulatory and scientific business challenges.

Key Responsibilities
  • Research emerging technologies including Agentic AI systems, Generative AI, Intelligent automation platforms, Data science, and informatics tools

  • Develop business applications.

  • Create dashboards, reports, and analytics solutions.

  • Build and enhance solutions for collaboration, knowledge sharing, and process management.

  • Assist with automation proof‑of‑concepts, and implementation projects.

  • Create training materials and demonstrations to support the adoption of automation technologies within RAS.

  • Present recommendations and findings to stakeholders.

  • Example developments may include:

  • Regulatory dossier creation and assembly

  • Regulatory review workflows

  • Protein and molecular data analysis

  • Scientific data processing and visualization

  • Knowledge management and information retrieval

Required Qualifications
  • Currently pursuing or recently completed a Bachelor's, or Postgraduate degree in Computer Science, Data Science, Computational Biology, Information Systems, Software Engineering, or related scientific or technical disciplines

  • Understanding of: Intelligent automation concepts, Agentic AI systems, Business process improvement methodologies, Data analytics, and Informatics

  • Strong analytical, problem‑solving, and communication skills.

  • Ability to work independently and collaboratively in a cross‑functional environment.

  • Proven record of collaboration in a team environment

  • Minimum cumulative GPA of 3.0

Preferred Qualifications
  • Have experience in one of the following:

  • Microsoft Power Platform: Including Power Apps, Power BI , Power Automate, Copilot studio, SharePoint

  • AWS: Including Lambda functions, EC2 and Bedrock

Technical Skills
  • Program deployment in Azure or AWS

  • Data visualization and reporting

  • Workflow automation

  • API or MCP integration

  • Cloud-based platforms and modern data tools

Success Measures
  • Delivery of Intelligent automation solutions that improve efficiency and reduce manual work.

  • Successful completion of automation pilots and creation of minimum viable products.

Corteva announced to separate our current advanced seed and genetics business to establish a standalone company, operating as Vylor, Inc. The process of the planned separation is anticipated to be completed the fourth quarter of 2026, subject to legal requirements and board approval. Should you accept this position, it is anticipated that, following conclusion of the separation, you would be an employee of Vylor, Inc. and your employment would be governed by Vylor, Inc. employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by Vylor, Inc. at an appropriate time and subject to any necessary consultation processes.

Vylor 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.

Corteva Agriscience™ is an equal opportunity employer. We are committed to boldly embracing the power of inclusion, diversity, and equity to enrich the lives of our employees and strengthen the performance of our company, while advancing equity in agriculture. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. Discrimination, harassment and retaliation are inconsistent with our values and will not be tolerated. If you require a reasonable accommodation to search or apply for a position, please visit:Accessibility Page for Contact Information

For US Applicants: See the ‘Equal Employment Opportunity is the Law’ poster. To all recruitment agencies: Corteva does not accept unsolicited third party resumes and is not responsible for any fees related to unsolicited resumes.

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