AI Writing Intern

Job Description

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.

Key Responsibilities Include:

• 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

Qualifications

Minimum Qualifications 

• 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

Preferred Qualifications 

• 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.