Clinical Development Data Science Intern

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!

Clinical Development Data Science Intern

At Genmab, interns don’t just learn about the work - they help move it forward. Our internship program provides meaningful, hands-on experience through real projects that directly support our teams, business priorities, and mission to transform the lives of people with cancer and other serious diseases.

From day one, interns are welcomed as part of the team and given opportunities to contribute, collaborate, and make an impact. Along the way, you’ll learn from talented colleagues and senior leaders, build new skills, expand your professional network, and gain exposure to the innovative work happening across Genmab.

We’re always looking for smart, curious, purpose-led people who are ready to bring fresh perspectives and bold ideas. Explore our website to learn more about Genmab and how you could play a role in our bold, extra[not]ordinary® future.

The Clinical Development Data Science Intern will join Genmab’s Clinical Development Data Science team and contribute to innovative AI/ML initiatives across the clinical development lifecycle. This role is ideal for a highly technical, impact-driven data scientist who is pursuing a Ph.D. in a quantitative or computational discipline, and who is excited to apply modern machine learning, natural language processing, and generative AI to real clinical and scientific challenges in oncology.

The intern will support projects such as building AI-powered tools to assist trial design, developing analytics pipelines for clinical and safety data, and prototyping advanced models that help clinicians and scientists make better, faster decisions.

• Develop machine learning and NLP pipelines to extract, organize, and summarize information from clinical trial protocols, regulatory documents, and unstructured biomedical text.
• Support the development of AI-driven tools that:
  • Accelerate protocol design through information retrieval, extraction, and summarization.
  • Enhance pharmacovigilance and safety monitoring through automated literature surveillance, risk modeling, anamoly detection, and severity prediction
  • Enable portfolio planning and decision-making through predictive modeling of key milestones and drivers
  • Support regulatory intelligence and affairs through analysis and synthesis of documents, precedents, and health authority decisions.
• Apply advanced modeling techniques including transformers, generative models, survival analysis, clustering, and other ML approaches.
• Experiment with explainability methods (e.g., SHAP, LIME) to improve the interpretability of models used in clinical decision-support contexts.
• Contribute to documentation, model evaluation, technical reviews, and final presentations to internal stakeholders.

• Sustained…