Description

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!

Job Title

AI-Driven Radiomics and Multimodal Biomarker Discovery Intern

Why Genmab

Our internship program provides interns with hands-on experience and relevant projects that directly align with our company's 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 we're always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary® future.

Job Overview

As an AI-Driven Radiomics and Multimodal Biomarker Discovery Intern, you will join Genmab's Translational Data Science team for a 10-week summer internship. You'll work at the forefront of AI and computational oncology, developing next-generation deep learning frameworks that integrate radiomic features from clinical imaging with molecular and genomic profiles. Radiomics transforms medical imaging data (CT, MRI, PET) into high-dimensional quantitative descriptors capturing tumor morphology, texture, and spatial heterogeneity. Integrating these features with genomic and molecular datasets provides an unprecedented opportunity to identify multiscale biomarkers predictive of therapeutic outcomes. This internship will leverage both public datasets (e.g., TCGA-LUAD/LUSC, NLST) and commercial imaging and molecular resources, providing a rich landscape for developing generalizable multimodal models. You'll apply CNNs, transformers, and self-supervised learning to bridge imaging and molecular data for biomarker discovery.

What You'll Do

This project aims to uncover novel, clinically actionable biomarkers to advance precision oncology. You'll contribute to the design, implementation, and validation of multimodal AI architectures that generate new insights into tumor biology, treatment response, and patient stratification.

• Deep Learning Architecture Development: Design, train, and optimize advanced CNN-based and hybrid architectures (e.g., 3D CNNs, Vision Transformers, CNN -Transformer hybrids) to extract biologically meaningful radiomic representations.
  
• Multimodal Data Integration: Develop deep fusion models that combine imaging, molecular, and clinical data through cross-attention, late fusion, or graph-based techniques to enhance biomarker prediction and interpretability.
  
• Software Engineering & Reproducibility: Write clean, modular, and well-documented code following modern software engineering best practices.
  
• Feature Interpretation & Biomarker Discovery: Correlate learned features with genetic mutations (e.g., KRAS, EGFR, TP53), immune profiles, and clinical outcomes to identify interpretable and actionable biomarkers.
  
• Model Validation & Generalization: Conduct rigorous cross-validation, hyperparameter optimization, and external dataset validation to assess model robustness and reproducibility.
  
• Collaboration & Communication: Work closely with computational biologists, bioinformaticians, and clinicians. Present progress and findings in internal seminars and contribute to internal reports and potential publications.
  

Required Qualifications, Capabilities and Skills:

• Currently pursuing a PhD or advanced Master's degree in Computer Science, Data Science, Biomedical Engineering, Computational Biology, or a related quantitative discipline.
  
• Proficiency in Python and deep learning frameworks such as PyTorch.
  
• Demonstrated experience developing CNNs, transformers, or multimodal architectures for medical imaging, omics, or related AI applications.
  
• Experience with data management and distributed training frameworks (e.g., Weights & Biases).
  
• Familiarity with radiomics extraction libraries (e.g., PyRadiomics, MONAI).
  
• Knowledge of model interpretability tools (Grad-CAM, SHAP, feature attribution) and evaluation metrics for biomedical data.
  
• Soft Skills: Analytical mindset, collaborative spirit, strong organizational skills, and proactive attitude.
  

Preferred Qualifications, Capabilities and Skills:

• Strong understanding of or interest in cancer biology
  

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.

What's 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 it's important to complete all relevant questions to ensure we have as much information about you as possible.

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

If you move forward in the process, you'll 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 you'll 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 can't 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 you're 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, 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. For more information, please visit Genmab.com and follow us on LinkedIn and X.

Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).