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Quantitative Systems Pharmacology (QSP) Modeling Intern
Quantitative Systems Pharmacology (QSP) Modeling InternGenmab • Princeton, New Jersey, USA
Quantitative Systems Pharmacology (QSP) Modeling Intern

Quantitative Systems Pharmacology (QSP) Modeling Intern

Genmab • Princeton, New Jersey, USA
8 hours ago
Job type
  • Full-time
Job description

At Genmab we are dedicated to building extranotordinary 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 companys 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 were always looking for smart purpose-led candidates to play a role in our bold extranotordinary future.

Job Overview

Genmabs 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 Youll 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 2026. 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.

Whats 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 its important to complete all relevant questions to ensure we have as much information about you as possible.

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

If you move forward in the process youll 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 youll 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 cant 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 youre 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 Genmabs 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 ().

Required Experience :

Intern

Key Skills

Campaigns,Abinitio,AutoCAD 3D,Hardware & Networking,Customer Support,Arabic

Employment Type : Full-Time

Experience : years

Vacancy : 1

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Intern • Princeton, New Jersey, USA

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