2026 CMC Biologics Drug Substance Intern - Cell Culture Development (PhD)

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

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.  

The CMC Biologics Drug Substance organization is a team of scientists driving scientific excellence and process development through innovative solutions. They are responsible for all Chemistry, Manufacturing, and Control (CMC) cell line and bioprocess development activities for AbbVie's early-stage and late-stage products. As an intern, you will have the opportunity to learn and work on key aspects of developing fundamental scientific understanding related to AbbVie's projects and processes, including exposure to innovative projects like applying machine learning (ML) techniques to build predictive models for our cell culture processes and improve our process development workflow.  

Key responsibilities include: 

• Develop and implement ML methodologies to build a hybrid model for predicting optimal outcomes in our cell culture processes. 
• Exercise significant independence in selecting modeling approaches, frameworks, and evaluation strategies for establishing a predictive hybrid model. 
• For the duration of the internship, take co-ownership of the project’s modeling life cycle, from data exploration and feature engineering to model validation and interpretation of the results. 
• If time permits, collaborate with senior scientists to design and execute cell culture experiments to generate data for model refining and additional model validation. 
• Present findings and progress to the department, effectively communicating methodologies, results