Quantitative Systems Pharmacology

3 days ago


Princeton, New Jersey, United States Genmab Full time

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.

Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.

Does this inspire you and feel like a fit? Then we would love to have you join us

Job Title

Quantitative Systems Pharmacology (QSP) Modeling Intern

Why Genmab

Our internship program provides interns with hands-on experience and relevant projects that directly align with our company's goals.  Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network.  We encourage you to review our website to learn why we're always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary future.

Job Overview

Genmab's Quantitative Systems Pharmacology (QSP) team is seeking a motivated and talented PhD-level intern to contribute to the development and application of mechanistic models supporting our oncology drug discovery and development programs. The intern will gain hands-on experience building computational models to understand disease biology, pharmacokinetics/pharmacodynamics (PK/PD), and drug mechanisms of action for antibody-based therapeutics.

This position offers the opportunity to work alongside experienced scientists in a collaborative, multidisciplinary environment, applying advanced modeling tools to generate actionable insights that guide experimental design and decision-making across preclinical and clinical stages.

What You'll Do

  • Contribute to quantitative systems pharmacology (QSP) projects by developing, adapting, or applying mechanistic models to address key research questions in oncology.

  • Perform simulations and analyses under various biological or experimental conditions to explore system behavior and treatment responses.

  • Integrate preclinical and literature-derived data to inform model structure, parameterization, and evaluation.

  • Visualize and interpret model outputs to generate insights that support hypothesis generation or experimental design.

  • Collaborate with scientists across disciplines to ensure alignment between modeling objectives, available data, and project needs.

  • Document modeling workflows, assumptions, and findings in clear and reproducible formats, and communicate results effectively to cross-functional teams.

Required Qualifications, Capabilities and Skills

  • Currently enrolled 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 quantitative biological systems modeling.

  • Demonstrated ability to analyze complex datasets and extract mechanistic insights.

  • Excellent communication and collaboration skills in multidisciplinary settings.

  • Self-motivated with strong attention to detail and problem-solving ability.

Preferred Qualifications, Capabilities and Skills

  • Familiarity with pharmacokinetic/pharmacodynamic (PK/PD) modeling concepts 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.

General Intern Information – Date/Location/Schedule

Internships will take place June – August This role will be based in Princeton, NJ and operate on a required hybrid schedule – 3 days in the office and 2 days remote per week.

What's next?

Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it's important to complete all relevant questions to ensure we have as much information about you as possible.

Every application matters to us, and we'll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we're unable to provide individual updates, rest assured that we're working diligently to move through the process efficiently.

If you move forward in the process, you'll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you'll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able.

We can't wait to see where this journey takes you

About You

  • You are genuinely passionate about our purpose

  • You bring precision and excellence to all that you do

  • You believe in our rooted-in-science approach to problem-solving

  • You are a generous collaborator who can work in teams with a broad spectrum of backgrounds

  • You take pride in enabling the best work of others on the team

  • You can grapple with the unknown and be innovative

  • You have experience working in a fast-growing, dynamic company (or a strong desire to)

  • You work hard and are not afraid to have a little fun while you do so

Locations

Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate.

About Genmab

Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO) antibody medicines.

Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit and follow us on LinkedIn and X.

Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice ).



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