Clinical Development Data Science Intern

About the company

Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific.

About the internship program

At Genmab, interns don't just learn about the work - they help move it forward. The internship program provides meaningful, hands-on experience through real projects that directly support teams, business priorities, and the 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, interns learn from talented colleagues and senior leaders, build new skills, expand professional networks, and gain exposure to the innovative work happening across Genmab.

About the role

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.

Responsibilities

• 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, anomaly 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