Statistical Programming Intern
Genmab is an international biotechnology company focused on improving patients' lives through innovative antibody therapeutics. The Statistical Programming Internship offers students hands-on experience in drug development, involving clinical research programming and collaboration across functions to support data analysis and visualization.
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
Skills
- 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)
- Advanced experience with relevant programming languages (e.g. SAS, R, Python)
Company Overview