Clinical Development Data Science Intern

At Genmab we are dedicated to building extranotordinary 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!

Job Title

Clinical Development Data Science Intern

Why Genmab

Our internship program provides interns with hands-on experience and relevant projects that directly align with our companys 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 were always looking for smart purpose-led candidates to play a role in our bold extranotordinary future.

Job Overview

The Clinical Development Data Science Intern will join Genmabs 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 Masters or PhD 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. You will collaborate with experienced data scientists data engineers clinicians and other cross-functional partners to deliver meaningful analyses prototypes and decision-support tools used across clinical development.

What Youll Do

• 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 risk modeling anomaly detection and severity prediction.

• 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.

Required Qualifications Capabilities and Skills

• Sustained progress in a PhD program in a quantitative or computational discipline (Computer Science Data Science Statistics Physics Computational Chemistry Computational Biology Applied Mathematics Engineering or related quantitative/technical field).

  • Masters students with strong applied experience will also be considered.

• Strong proficiency in modern Python for machine learning and scientific computing (e.g. PyTorch/TensorFlow scikit-learn spaCy Hugging Face transformers pandas NumPy).

  • Candidates should be experienced in building modular scripts and reusable modules command-line utilities and structured codebases for data processing and machine learning workflows.

• Experience applying ML or NLP methods to real-world datasets.

• Ability to design build and evaluate computational models end-to-end.

• Excellent analytical problem-solving abilities and intellectual curiosity.

• Clear written and verbal communication skills.

• High attention to detail scientific rigor and commitment to producing high-quality work.

• Ability to work independently as well as collaboratively within interdisciplinary teams.

Preferred Qualifications Capabilities and Skills

• Experience with large language models retrieval-augmented generation (RAG) or generative AI workflows.

• Prior work involving unstructured document parsing (e.g. PDFs scanned text scientific literature).

• Full-stack data science skill set including experience with:

  • Writing production-quality modular and reusable Python code

  • Building scalable reproducible systems and packaging code for broader use

  • Containerization (e.g. Docker) and reproducible compute environments

  • Workflow or pipeline orchestration tools (Airflow Prefect Dagster etc.)

  • Cloud computing environments (AWS Azure GCP)

• Experience using Git repositories and version-control workflows including:

  • Branching strategies pull requests peer code reviews

  • Good commit hygiene and collaborative development practices

  • Familiarity with GitHub GitLab or similar platforms

• Exposure to CI/CD structured logging automated testing or other professional engineering practices.

• Experience with MLOps concepts such as model packaging monitoring reproducibility and deployment is a strong plus.

General Intern Information Date/Location/Schedule

Internships will take place June August 2026. This role will be based in Princeton NJ and operate on a required hybrid schedule 3 days in the office and 2 days remote per week.

Whats next

Help us learn about you by submitting a complete and thoughtful application which includes your resume. Your application and resume are a way for us to initially get to know you so its important to complete all relevant questions to ensure we have as much information about you as possible.

Every application matters to us and well carefully review each submission as quickly as possible to see if your qualifications align with the role. While were unable to provide individual updates rest assured that were working diligently to move through the process efficiently.

If you move forward in the process youll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams where youll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able.

We cant wait to see where this journey takes you!

About You

• 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!

Locations

Genmab maximizes the efficiency of an agile working environment when possible for the betterment of employee work-life balance. Our offices are crafted as open community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether youre in one of our office spaces or working remotely we thrive on connecting with each other to innovate.

About Genmab

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 Genmabs 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. For more information please visit and follow us on LinkedIn and X.

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