AbbVie-posted 3 months ago
Intern
North Chicago, IL
Chemical Manufacturing

Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie Interns. This internship offers a unique opportunity to work within a multidisciplinary team at the intersection of data science, GenAI, and regulatory science. The intern will contribute to the development and implementation of AI-driven tools for content authoring and quality control (QC) review of regulatory documents, supporting the delivery of high-quality submissions to health authorities.

  • Collaborate with scientists and regulatory professionals to understand the requirements and structure of regulatory documents.
  • Assist in developing and applying data science and GenAI models to automate content generation and QC processes.
  • Curate, clean, and structure data to train and validate AI models for document authoring and review.
  • Evaluate and implement natural language processing (NLP) techniques for text summarization, information extraction, and document comparison.
  • Participate in the development and validation of automated QC tools for identifying inconsistencies, errors, and gaps in regulatory submissions.
  • Present findings, tools, and recommendations to cross-functional teams and document results in clear, concise reports.
  • Currently enrolled in a Bachelor's in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, or a related field.
  • Must be enrolled in university for at least one semester following the internship.
  • Expected graduation date between December 2026 - June 2027.
  • Strong interest in pharmaceutical sciences, regulatory science, or healthcare data.
  • Familiarity with data analysis and programming (e.g., Python or R).
  • Effective communication skills and ability to work collaboratively in a team environment.
  • Previous experience with natural language processing (NLP) or generative AI models.
  • Exposure to regulatory science, pharmaceutical industry practices, or biomedical research.
  • Ability to interpret scientific literature and regulatory guidance documents.
  • Competitive pay
  • Relocation support for eligible students
  • Select wellness benefits and paid holiday / sick time
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