2026 Clinical Pharmacology Intern (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.  

AbbVie’s Clinical Pharmacology (ClinPharm) organization provides critical scientific support for all phases of pharmaceutical research and development in all divisions of the business. ClinPharm leads the design, execution, and interpretation of all clinical pharmacology Phase 1 studies, and exposure-clinical response modeling and simulation to optimize dose selection and trial design. The team also integrates data from multiple sources including preclinical and clinical pharmacokinetics, pharmacodynamics, dosing compliance/adherence, effective and toxic exposures, financial metrics, and overall cost/benefit. Another key responsibility of the team is to present the data to regulatory authorities world-wide and authors more than half of the clinical summary documents for global regulatory submissions.  

Internship projects could vary and are dependent on therapeutic area needs. Current therapeutic areas supported include Immunology, Oncology, Neurology, and Specialty assets.     

Key project responsibilities include: 

• Analysis of literature and in-house proprietary data  
• Dose- and Exposure- Safety & Efficacy Endpoint Analysis  
• Database Analyses  
• Development of mathematical models (e.g. PK/PD, Population PK, etc.)  
• Conducting simulations using mathematical models  
• Model-Informed Drug Development (MIDD)  
• Clinical Study Design  
• Presentation to broader team at the conclusion of the assignment