Statistical Programming Intern

Genmab•Plainsboro Township, NJ

32d•Hybrid

About The Position

The 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 and external partners. The internship 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 internship is ideal for students looking to explore a career in clinical research and data programming while contributing to Genmab’s mission of developing innovative antibody-based therapies.

Requirements

Students in their second year of a Master’s degree in Statistics, Mathematics, Computer Science, Bioinformatics, Data Science or related fields. (Expected Graduation: December 2026 or May 2027)
Interest in clinical research.
Basic understanding of Clinical and/or Statistical Programming,
Academic experience with relevant programming languages (e.g. SAS, R, Python).

Nice To Haves

Advanced experience with relevant programming languages (e.g. SAS, R, Python).

Responsibilities

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 tools to streamline and automate programming tasks.
Learn industry standards, best practices, and regulatory requirements for Clinical and Statistical Programming.
Support reporting and visualization of clinical trial data.
Gain familiarity with computing environments, applications, and tools used in Clinical and Statistical Programming.
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.
Complete a project based on a real Programming assignment (e.g., automation of data package checks for FDA submissions or testing standard code libraries).
Present the completed project to the Extended Programming Leadership Team and other stakeholders, demonstrating skills, insights, and potential for future full-time opportunities.