AbbVie is looking to develop and implement AI-driven tools for content authoring and quality control (QC) review of regulatory documents to support the delivery of high-quality submissions to health authorities.
Requirements
- Familiarity with data analysis and programming (e.g., Python or R).
- Previous experience with natural language processing (NLP) or generative AI models.
- Ability to interpret scientific literature and regulatory guidance documents.
Responsibilities
- 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
Other
- 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.
- Effective communication skills and ability to work collaboratively in a team environment
