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

Histopathology Imaging Data Science 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

We are looking for a motivated and detail-oriented Digital Pathology Intern to join our team for a summer internship. This role will focus on developing AI models to analyze H&E and IHC images and multiomics data (such as RNAseq and DNA mutations) to characterize the tumor microenvironment and uncover biomarkers linked to disease biology and treatment efficacy. The intern will collaborate with our translational data science team and other stakeholders to contribute to innovative translational research in cancer treatment.

What You'll Do

• Data ingestion & Analysis
  
  • Develop or utilize pathology-specific foundation models e.g., CTransPath, PLIP, and BiomedParse, to process and analyze large image datasets
    
  • Perform integrative analysis of pathology images with multiomics datasets (e.g. RNAseq, DNA mutations).
    
  • Integrate and preprocess datasets and software packages from diverse sources to ensure compatibility with AI tools.
    
  • Conduct computation in a GPU-enabled environment on cloud platforms.
    
• Model Development & Optimization
  
  • Assist in fine-tuning and optimizing AI models for tasks such as image segmentation and classification using python/R.
    
  • Add new functions to the current pipeline of imaging data analysis.
    
  • Document and present model performance metrics to the team.
    
• Biomarker Discovery
  
  • Apply deep learning/machine learning techniques to predict mutations and/or protein expression and identify potential biomarkers associated with tumor characteristics and treatment outcomes.
    
  • Work with mentors and other researchers to validate findings and assess their relevance to cancer biology and therapeutic strategies.
    
• AI Model interpretability
  
  • Develop interactive tools enabling pathologists to review whole slide images (WSIs) and evaluate integrated AI predictions on the tumor microenvironment (TME). The tools will leverage diverse vision-language foundation models to enhance model validation and interpretability and bring insights into cancer biology.
    
• Research & Reporting
  
  • Conduct literature reviews to keep abreast of the latest developments in deep learning, digital pathology and multiomics integration.
    
  • Prepare reports and presentations to share findings with both technical and non-technical audiences.
    

Required Qualifications, Capabilities and Skills

• Currently enrolled in a degree program in Computer Science, Bioinformatics, Data Science, or a related field.
  
• Proficiency in programming languages such as Python or R.
  
• Experience with machine learning frameworks (e.g., PyTorch) and data analysis tools.
  
• Familiarity with image processing and analysis techniques.
  
• Experience with cloud computing platforms, e.g., AWS, DataBricks.
  
• Ability to collaborate effectively in a team setting.
  
• Demonstration of initiative, a proactive attitude, and eagerness to learn in a fast-paced environment.
  

Preferred Qualifications, Capabilities and Skills

• Prior experience with digital pathology or multiomics data analysis.
  
• Basic understanding of cancer biology or oncology research.
  
• Excellent written and verbal communication skills.
  
• Familiarity with AI coding/agent tools (e.g., Cursor).
  

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.

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