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Clinical & Statistical Programming Intern

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Genmab
Full Time, Apprenticeship/Internship position
Listed on 2026-10-22
Job specializations:
  • Software Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 20 - 26 USD Hourly USD 20.00 26.00 HOUR
Job Description & How to Apply Below

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

Clinical & Statistical Programming Intern

Why Genmab

At Genmab, interns don’t just learn about the work - they help move it forward. Our internship program provides meaningful, hands-on experience through real projects that directly support our teams, business priorities, and mission to transform the lives of people with cancer and other serious diseases.

From day one, interns are welcomed as part of the team and given opportunities to contribute, collaborate, and make an impact. Along the way, you’ll learn from talented colleagues and senior leaders, build new skills, expand your professional network, and gain exposure to the innovative work happening across Genmab.

We’re always looking for smart, curious, purpose-led people who are ready to bring fresh perspectives and bold ideas. Explore our website to learn more about Genmab and how you could play a role in our bold, extra[not]ordinary® future.

Job Overview

The Clinical & Statistical Programming Internship is designed to provide students with meaningful, hands-on experience in the field of drug development. Over the course of ten weeks, interns will gain exposure to real-world clinical research programming, contributing to key activities such as data mapping (SDTM), creation and quality control of analysis datasets (ADaM), statistical reporting and visualization (TLF), tool development, and collaboration across functions.

As Programming evolves, interns will also explore how automation and AI-assisted programming can improve code development, data review, and reporting, with appropriate human review and attention to data confidentiality.

The program offers an opportunity to build technical and analytical skills using widely adopted programming languages such as SAS, R, and Python, while applying academic knowledge to practical challenges in a professional setting. Interns will take on impactful assignments and a capstone project that not only enhance their skills but also deliver value to the organization.

This program is ideal for students looking to explore a career in clinical research and Clinical & Statistical Programming while contributing to Genmab’s mission of developing innovative antibody-based therapies.

Our approach to innovation starts with real programming challenges, informed by years of hands-on experience. Interns will work closely with the team to understand those challenges and develop practical solutions, choosing the tools and methods that best fit the problem rather than assuming a particular technology is always the answer.

What you’ll do Technical Exposure
  • Gain hands-on experience with programming tools including SAS, R, and Python.
  • Support the production of analysis datasets, tables, figures, and listings by writing, testing, and validating corresponding programs.
  • Develop data visualizations or…
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