Clinical and Statistical Programming Intern

Genmab • Princeton, FL

1d • Hybrid

About The Position

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company’s goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we’re always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary® future. Job Overview This internship aims to develop future talent in clinical research by providing hands-on experience in drug development through direct exposure to Clinical and Statistical Programming work. You will be prepared for careers in the industry and at Genmab by empowering yourself to understand and contribute to key programming activities such as the creation and quality control of tabulation datasets (SDTM), gaining exposure to analysis dataset (ADaM) concepts, engaging in cross-partner collaboration, developing tools, and contributing to process documentation. Additionally, this internship promotes skill development in emerging technologies by leveraging the growing expertise in academia with widely used open-source programming languages such as R and Python, as well as artificial intelligence and machine learning frameworks, while providing interns with meaningful exposure to real-world applications of these technologies.

Requirements

• 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.

Nice To Haves

• 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

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.
• Reporting and visualization of clinical trial data.
• 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.
• 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.
• At the end of the program, interns will present their capstone project to the Extended Programming Leadership Team as well as other relevant stakeholders, showcasing their contributions and potential for future (FTE) roles.

What This Job Offers

• Career Level: Intern
• Number of Employees: 1,001-5,000 employees