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Genmab · 1 week ago

Clinical and Statistical Programming Intern

Princeton, NJ

Internship

Hybrid

Intern

Start in 2026 Summer

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.

BiotechnologyHealth CareManufacturingMedical

Culture & Values

No H1B

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

Qualification

SASRPythonStatistical ProgrammingArtificial IntelligenceMachine LearningAnalytical SkillsProblem-SolvingProject ManagementCollaboration

Required

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