Clinical and Statistical Programming Intern – Summer 2026
Company: Genmab
Job ID: R14739
Category: Research & Discovery
Location: Princeton, New Jersey, USA (Hybrid: 3 days onsite, 2 days remote)
Internship Dates: June – August 2026
About the Internship
Genmab’s Clinical and Statistical Programming Internship provides graduate students with hands-on exposure to drug development programming, preparing them for careers in clinical research and pharmaceutical data science. Interns will gain practical experience in SDTM and ADaM datasets, cross-partner collaboration, tool development, and process optimization, while also exploring emerging technologies including R, Python, AI, and machine learning frameworks.
Key Responsibilities
Technical Exposure:
Participate in production or QC of SDTM datasets, including writing programs and performing validation/acceptance testing.
Gain hands-on experience with programming languages such as SAS, R, and Python.
Develop tools to automate and accelerate programming tasks.
Clinical Research Integration:
Learn industry standards, best practices, and regulatory requirements for clinical and statistical programming.
Support reporting and visualization of clinical trial data.
Understand applications, computing environments, and utility tools used in programming workflows.
Process Improvement & Operational Excellence:
Apply continuous improvement principles to optimize programming and clinical data processes.
Participate in process mapping and workflow analysis to identify opportunities for automation and efficiency.
Contribute to documentation, SOP optimization, and metrics tracking.
Professional Development & Capstone Project:
Weekly mentorship meetings with Senior Clinical Programmers or Team Leads.
Collaborate with cross-functional teams, including Biostatistics and Data Management.
Complete a capstone project based on a real programming assignment and present results to the Extended Programming Leadership Team.
Required Qualifications
First- or second-year Master’s student in Statistics, Mathematics, Computer Science, Bioinformatics, Data Science, or related field.
Interest in clinical research and programming.
Basic understanding of clinical and statistical programming concepts.
Academic or industry experience with programming languages (SAS, R, Python) and exposure to AI/ML concepts, including large language models (LLMs).
Strong analytical, problem-solving, and data interpretation skills.
Basic knowledge of project management tools.
Preferred Qualifications
Experience with process mapping or workflow documentation tools.
Familiarity with AI, machine learning, or LLM frameworks.
Intern Information
Hybrid schedule: 3 days onsite, 2 days remote.
Location: Princeton, NJ, USA.
Internship period: June – August 2026.
This role is not eligible for sponsorship.
About You
Passionate about advancing patient outcomes through data-driven approaches.
Precise, innovative, and collaborative in problem-solving.
Excited to work in a fast-paced, multidisciplinary environment.
Enjoys contributing to team success while maintaining a positive, professional approach.
About Genmab
Genmab is a global biotechnology company dedicated to improving patient lives through innovative antibody therapeutics. With over 25 years of experience, Genmab has pioneered next-generation antibody platforms, including bispecific T-cell engagers, antibody-drug conjugates, and immune checkpoint modulators. Headquartered in Copenhagen, Denmark, Genmab operates across North America, Europe, and Asia-Pacific.
Learn more: Genmab.com
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