Clinical & Statistical Programming Intern

About the Role

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.

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.

Responsibilities

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 reusable tools to streamline and automate programming tasks, with opportunities to explore AI-assisted approaches under team guidance.

Clinical Research Integration

• Learn industry standards, best practices, and regulatory requirements for Clinical & Statistical Programming.
• Support reporting and visualization of clinical trial data.
• Gain an understanding of different roles supporting clinical research and development.
• Gain familiarity with computing environments, applications, and tools used in Clinical & Statistical Programming.

Professional Development

• Participate in weekly mentorship meetings with programming and team leads.
• Engage in networking and cross-functional collaboration with teams such as Biostatistics and Data Management.
• Engage with other interns across various departments in Genmab.

Capstone Project

• Complete a Programming project based on a real business challenge or need, which may include automation, tool development, or evaluation of an AI-assisted programming approach.
• Present the completed project to the Extended Programming Leadership Team and other stakeholders, demonstrating