Hybrid Clinical Data Science Intern for Oncology AI

Genmab; Princeton (NJ); Hybrid; USD 34,000 - 48,000; Full time

Job summary

Genmab is seeking a Clinical Development Data Science Intern in Princeton, NJ. You will join the Clinical Development Data Science team and contribute to AI/ML initiatives across the clinical lifecycle, focusing on transformer-based models, NLP, and generative AI applied to oncology challenges. The role targets Ph.D.

candidates in quantitative fields, with strong Python and ML/NLP experience. The internship runs ~10 weeks (June–August 2027) in a hybrid schedule with three days in the office and

Qualifications

• Pursuing a Ph.D. in a quantitative or computational field; Master’s acceptable.
• Strong Python proficiency for ML/NLP and scientific computing.
• Experience applying ML/NLP to real datasets.
• Ability to design, build, and evaluate models end-to-end.

Responsibilities

• Develop ML/NLP pipelines to extract and summarize information from clinical text.
• Build AI-driven tools to assist trial design and data analysis.
• Prototype advanced models for clinical decision support in oncology.
• Document model evaluation, methods, and results for stakeholders.
• Collaborate across interdisciplinary teams to advance projects.

Skills

Python

ML/NLP

Transformers

PyTorch

HuggingFace

Data processing

Communication

Education

PhD program (quantitative)

Masters considered

Tools

Docker

AWS

Git

Airflow

Job description

Genmab is seeking a Clinical Development Data Science Intern in Princeton, NJ. You will join the Clinical Development Data Science team and contribute to AI/ML initiatives across the clinical lifecycle, focusing on transformer-based models, NLP, and generative AI applied to oncology challenges. The role targets Ph.D.

candidates in quantitative fields, with strong Python and ML/NLP experience. The internship runs ~10 weeks (June–August 2027) in a hybrid schedule with three days in the office and