Intern, Precision Medicine (Project: Pediatric Gene Expression Dashboard Development)

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
Are you excited about the intersection of data science and cancer immunology, looking to make a meaningful impact in the field of antibody therapeutics? Do you want to gain exposure to the strategic design of innovative antibody therapeutics? Keep on reading!

We are looking for a highly motivated intern to join the Translational Medicine team to support the development of a standardized, user-friendly R Shiny application for gene expression analysis in pediatric malignancies. This tool will streamline production of key deliverables needed for health authority interactions and enable exploratory data analyses in a reproducible and scalable manner. 

Responsibilities

You will support the foundational development of this platform, contributing to both backend data processing and the creation of the interactive dashboard. 

Data Exploration & Integration 

• Analyze and integrate existing, in-housed pediatric datasets 

• Integration with in-housed real-world evidence (RWE) data

• Identify and mitigate batch effects

• Enable real time follow-ups / additional analyses, such as exploring mutational data (available in some of the downloaded datasets) and integrating where possible 

• Acquire and integrate emerging pediatrics datasets not yet downloaded by Genmab (e.g., from GEO) 

Refine and standardize dataset (RDAP) 

• Apply internal data governance standards for formatting and metadata annotation. 

Dashboard Development 

• Prototype a lean, modular R Shiny dashboard with reusable components and an intuitive user interface. 

• Ensure accessibility for non-technical users; gather and incorporate user feedback iteratively.  

Comparative Analyses 

• Incorporate pediatric vs. adult (e.g., TCGA) comparisons to identify disease-specific expression trends. These comparisons support EMA's indication-based requirements, enabling direct evaluation between adult and pediatric cohorts when applicable.  

• Collaboration & Deployment 

• Collaborate with Data Engineering to ensure infrastructure compatibility. 

• Support testing, documentation, and scalable deployment. 
   

Requirements

• Currently enrolled in a Bachelor’s/HBO or Master’s degree program at a Dutch university in Molecular Biology, Bioinformatics, Biomedical Sciences, or a related field.
• Available for a minimum of 6 months.
• Proficiency in R programming, with a focus on producing clean, standardized, and well-documented code.
• Familiarity with bioinformatics concepts pipelines (e.g., gene expression analyses, batch correction) and handling and manipulating large scale datasets.
• Experience working with public bioinformatics databases (e.g., GEO, TCGA)
• Familiarity with version control (e.g. Git)
• Basic knowledge of translational research in cancer biology; familiarity with pediatric oncology is advantageous.
• Comfortable working collaboratively in a multidisciplinary team.
• Proven creativity, analytical thinking, strong organizational skills, and a collaborative spirit.

Preferred Qualifications, Capabilities, and Skills

• Familiarity with the R-Shiny framework.
• Experience with modular Shi