Clinical and Statistical Programming Intern

Genmab is an international biotechnology company dedicated to improving the lives of patients through innovative antibody therapeutics. The Clinical and Statistical Programming Intern role aims to develop future talent in clinical research by providing hands-on experience in drug development and key programming activities.

Responsibilities

• Production or QC of SDTM datasets, by writing the corresponding programs and/or ensuring validation/acceptance testing before finalization
• Development of tools to accelerate/automate programming tasks
• Exposure to continuous improvement principles and practices that drive operational efficiency and quality in programming and clinical data workflows
• Participate in process mapping and analysis to identify opportunities for standardization, automation, and efficiency gains
• Support documentation and optimization of standard operating procedures (SOPs), work instructions, or templates
• Contribute to metrics tracking and dashboarding to monitor process performance and improvement outcomes
• Weekly mentorship meetings with Senior Clinical Programmer(s) and/or team lead(s)
• Networking opportunities and collaboration with cross-functional teams, including Biostatistics and Data Management
• Each intern will complete a capstone project based on an actual Programming assignment

Skills

• Students in their first or second year of a Master's degree in Statistics, Mathematics, Computer Science, Bioinformatics, Data Science or related fields
• Interest in clinical research
• Basic understanding of Clinical and/or Statistical Programming
• Academic or industry experience with relevant programming languages (e.g. SAS, R, Python) and exposure to artificial intelligence or machine learning concepts, including familiarity with large language models (LLMs) or related frameworks, is preferred
• Strong analytical and problem-solving skills, with the ability to interpret data and identify improvement opportunities
• Basic knowledge of project management tools
• Experience with process mapping or workflow documentation tools
• Exposure to artificial intelligence or machine learning concepts, including familiarity with large language models (LLMs) or related frameworks

Company Overview