Student Worker, Discovery Data Science

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!

The Role

Are you excited about the intersection of AI and cancer immunology, and looking to apply your technical skills in a real-world biotech setting over a longer period of time?

We are looking for a student worker (approx. 15 hours per week) to join our ML & AI for Antibody Discovery and Development team within the Discovery Data Science department in Copenhagen. This is a long-term position (minimum 18 months), designed to run alongside your studies and allow you to build depth, ownership, and impact over time.

• Conduct exploratory data analysis and statistical analyses on biological datasets
• Build, train, and evaluate machine learning models for antibody design and discovery
• Experiment with methods, parameters, and datasets to improve model performance
• Contribute to the development of scalable and reusable code within shared codebases
• Translate complex technical results into clear and intuitive visualizations and presentations
• Collaborate with scientists across disciplines to define questions, interpret results, and iterate on approaches
• Over time, take ownership of (parts of) projects and help shape the structure of ongoing work within the team

• Currently enrolled in a BSc or MSc program in Computer Science, Engineering, Machine Learning, Data Science, or a related field
• Based in Denmark and available for approximately 15 hours per week for a minimum of 18 months
• Interest in or exposure to biological data (e.g. proteins, antibodies)
• Strong programming skills in Python and experience working in a command-line environment
• Solid understanding of statistics and machine learning principles
• Experience with version control systems (e.g. Git)
• Able to work independently and proactively, with a structured approach to problem-solving
• Strong communication skills and ability to collaborate in a multidisciplinary, international environment
• Fluent in English (written and spoken)
• Experience with cloud platforms (e.g. AWS, Databricks) - nice to have
• Familiarity with MLOps tools (e.g. MLflow, Weights & Biases) - nice to have
• Experience with structural biology or molecular modelling tools (e.g. PyMOL, Rosetta) - nice to have

• Application deadline: 13 April 2026
• Shortlisting: week of 13 April 2026
• Initial online screenings: week of 20 April 2026
• Onsite interviews: week of 27 April 2026
• Intended start date : 15 May/1 June

• 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!