Intern, Translational & Quantitative Data Science (Streamlining Biomarker Operations: Transforming Clinical Inventory Management with Automation and AI)

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.

The Role

We are looking for a highly motivated intern to join our Translational Data Science team in Utrecht! Here you will work on a collaborative project with the Translational and Quantitative Sciences (TQS) Data Management & Clinical Biomarker Operations team. In partnership with Clinical Operations, you will contribute to the development of a Biomarker Operations Inventory Management Dashboard: a centralized, scalable solution designed to modernize how biomarker operations and inventory data are consolidated and managed across studies.

The project aims to integrate data from multiple CROs, automate existing Excel- and macro-based workflows through Databricks and AWS pipelines, and provide a Shiny-based interface for interactive data visualization and exploration. By standardizing and automating these processes, the solution will enhance efficiency, ensure data traceability, and improve overall quality in clinical operations data management.

Responsibilities

• Design and implement ETL pipelines to automate consolidation of Excel/macro-driven workflows.
• Integrate multiple BOM-related data sources into a centralized master inventory.
• Develop an R Shiny interface for data exploration, reporting, and quality control.
• Apply data engineering practices in Databricks and AWS for scalability and reliability.
• Implement data quality checks and generate feedback for CROs.
• Explore AI/LLM-based approaches for efficiency, such as natural language queries or anomaly detection.
• Align dashboard design with clinical operations workflows and document the process.
• Present prototypes and findings to Clinical Operations and Translational Data Science teams.

• Actively enrolled - throughout the duration of this internship - in a Bachelor's or Master's program in Computer Science, Bioinformatics, or a related fieldat a Dutch university.
• Available for 6-12 months.
• Experience with R and Shiny for visualization and application development.
• Familiarity with Python and/or SQL for data processing.
• Interest in data platforms (e.g., Databricks, AWS).
• Experience with Excel-based workflows (including macros) is a plus.

• Internship duration: 6-9 months.
• Start date: February/March 1st.
• Location: Utrecht, Netherlands.
• This is a fulltime hybrid internship position.

• You are genuinely passionate about our purpose
• You bring precision and excellence to all that you do
• You believe in our rooted-in-science approach to problem-solving
• You are a generous collaborator who can work in teams with a broad spectrum of backgrounds
• You take pride in enabling the best work of others on the team
• You can grapple with the unknown and be innovative
• You have experience working in a fast-growing, dynamic company (or a strong desire to)
• You work hard and are not afraid to have a little fun while you do so!