Clinical & Statistical Programming Intern

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.

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 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 skills, insights, and potential for future full-time opportunities.

Required Qualifications, Capabilities And Skills

• Students pursuing a Master's degree in Statistics, Mathematics, Computer Science, Bioinformatics, Data Science, or a related field, with a preference for students in their second year of study.
• Interest in clinical research.
• Basic understanding of Clinical Research and/or Clinical & Statistical Programming.
• Academic experience with relevant programming languages (e.g. SAS, R, Python) and data analysis.

Preferred Qualifications, Capabilities And Skills

• Advanced experience with relevant programming languages (e.g. SAS, R (including shiny), Python).
• Interest or experience in workflow automation, reusable programming tools, or AI-assisted code development, including reviewing and testing generated code.