AI & Process Automation Intern — Hybrid (Princeton)

Genmab

Princeton (NJ)

Hybrid

USD 28,000 - 39,000

Full time

8 days ago

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Job summary

Genmab is seeking a DDAI Intern – AI and Process Automation in Princeton, NJ for a 10-week program. The intern will help develop an AI-assisted solution to streamline request and agreement execution, translating process requirements into a practical automation prototype.

The role offers hands-on experience across business and technical teams, with collaboration on future integrated workflows and a strong emphasis on document analysis, meticulous data handling, and stakeholder communication.

Qualifications

  • Pursuing a technical degree or demonstrating equivalent technical skills.
  • Foundational programming or scripting abilities.
  • Familiarity with generative AI concepts and applying AI to documents.

Responsibilities

  • Map the current process with stakeholders and define requirements for the project.
  • Review contracts and documents to identify information for automated checks or routing.
  • Build and test an AI-assisted prototype with approved tools and gather feedback.
  • Validate outputs against source documents and establish review checkpoints.
  • Support integration with existing workflows and the evolving legal review process.
  • Document the solution, test results and provide handover for ongoing use.

Skills

Programming basics
Data understanding
Generative AI concepts
Attention to detail
Communication
Collaboration

Education

Pursuing CS/DS/IS/Engineering degree

Tools

Python
APIs
Document extraction
Workflow automation
Web-based applications

Job description

Genmab is seeking a DDAI Intern – AI and Process Automation in Princeton, NJ for a 10-week program. The intern will help develop an AI-assisted solution to streamline request and agreement execution, translating process requirements into a practical automation prototype.

The role offers hands-on experience across business and technical teams, with collaboration on future integrated workflows and a strong emphasis on document analysis, meticulous data handling, and stakeholder communication.

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