Quantitative Systems Pharmacology (QSP) Modeling Intern – Summer 2026
Company: Genmab
Job ID: R14682
Category: Research & Discovery
Location: Princeton, New Jersey, USA (Hybrid: 3 days onsite, 2 days remote)
Internship Dates: June – August 2026
About the Internship
Genmab’s QSP Modeling Internship provides PhD-level students with hands-on experience in computational modeling to support oncology drug discovery and development. Interns will contribute to mechanistic models of disease biology, pharmacokinetics/pharmacodynamics (PK/PD), and antibody-based therapeutics. This role offers a unique opportunity to collaborate with multidisciplinary scientists, gaining insights into preclinical and clinical decision-making while developing essential quantitative skills.
Key Responsibilities
Contribute to QSP modeling projects by developing, adapting, or applying mechanistic models for oncology research.
Perform simulations and analyses under diverse biological and experimental conditions to understand system behavior and drug responses.
Integrate preclinical and literature-derived data to inform model design, parameterization, and evaluation.
Visualize and interpret model outputs to generate actionable insights supporting hypothesis generation and experimental design.
Collaborate across scientific disciplines to ensure alignment between modeling objectives and project needs.
Document workflows, assumptions, and results in reproducible formats for clear communication to project teams.
Required Qualifications
Current enrollment in a PhD program in engineering, applied mathematics, systems biology, pharmaceutical sciences, or related quantitative discipline.
Strong experience with MATLAB and SimBiology for model development and simulation.
Solid foundation in differential equations, reaction kinetics, and systems modeling.
Proven ability to analyze complex datasets and extract mechanistic insights.
Excellent communication and collaboration skills in multidisciplinary environments.
Self-motivated, detail-oriented, and strong problem-solving capability.
Preferred Qualifications
Familiarity with PK/PD modeling and systems pharmacology frameworks.
Experience modeling biological pathways or cellular dynamics relevant to oncology or immunology.
Publication or presentation experience in computational modeling, systems biology, or pharmacometrics.
Intern Information
Hybrid schedule: 3 days onsite, 2 days remote.
Location: Princeton, NJ, USA.
Internship period: June – August 2026.
This role is not eligible for sponsorship.
About You
Passionate about improving patient outcomes through quantitative, science-driven approaches.
Precise, innovative, and collaborative in problem-solving.
Excited to work in a fast-paced, dynamic, and multidisciplinary environment.
Enjoys contributing to team success while maintaining a positive, professional approach.
About Genmab
Genmab is a global biotechnology company dedicated to innovative antibody therapeutics that improve patient lives. With 25 years of experience, Genmab has pioneered next-generation antibody platforms, including bispecific T-cell engagers, antibody-drug conjugates, and immune checkpoint modulators. Headquartered in Copenhagen, Denmark, Genmab operates across North America, Europe, and Asia-Pacific.
Learn more: Genmab.com
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