AI-Driven Radiomics & Multimodal Biomarker Discovery Intern
Location: Princeton, New Jersey, USA (Hybrid: 3 days onsite, 2 days remote)
Category: Research & Discovery
Job ID: R14686
Internship Duration: June – August 2026
Overview
Genmab, a global biotechnology leader, is offering a 10-week summer internship in AI-driven radiomics and multimodal biomarker discovery. This role is part of the Translational Data Science team, providing a unique opportunity to work at the intersection of computational oncology, AI, and precision medicine.
The internship focuses on integrating radiomic imaging features with molecular and genomic datasets to identify predictive biomarkers for therapeutic response. You will work with clinical imaging (CT, MRI, PET), public datasets (e.g., TCGA-LUAD/LUSC, NLST), and commercial resources to develop CNNs, Transformers, and multimodal architectures that uncover actionable insights for oncology research.
This position is ideal for PhD or advanced Master’s students in Computer Science, Data Science, Biomedical Engineering, or Computational Biology seeking hands-on experience in AI, deep learning, and translational medicine.
Key Responsibilities
Deep Learning & Model Development:
Design, train, and optimize CNNs, Vision Transformers, and hybrid architectures for radiomic feature extraction.
Develop multimodal models that integrate imaging, molecular, and clinical data using cross-attention, late fusion, or graph-based approaches.
Biomarker Discovery & Analysis:
Correlate extracted features with genetic mutations (e.g., KRAS, EGFR, TP53), immune profiles, and clinical outcomes.
Identify interpretable and clinically actionable biomarkers for patient stratification and treatment response prediction.
Software Engineering & Reproducibility:
Write clean, modular, and well-documented code following modern software engineering best practices.
Conduct rigorous cross-validation, hyperparameter tuning, and external validation to ensure model robustness.
Collaboration & Communication:
Work closely with computational biologists, bioinformaticians, and clinicians.
Present findings in internal seminars, contribute to reports, and potentially co-author publications.
Required Qualifications
PhD or advanced Master’s student in Computer Science, Data Science, Biomedical Engineering, Computational Biology, or related quantitative discipline.
Proficiency in Python and deep learning frameworks such as PyTorch.
Demonstrated experience in CNNs, Transformers, or multimodal architectures for medical imaging or omics data.
Familiarity with radiomics libraries (PyRadiomics, MONAI) and model interpretability tools (Grad-CAM, SHAP).
Knowledge of data management and distributed training frameworks (e.g., Weights & Biases).
Strong analytical, organizational, and collaborative skills with a proactive attitude.
Preferred Qualifications
Understanding of cancer biology or interest in translational oncology research.
Experience in handling large biomedical datasets and integrating multimodal data.
Prior academic or research experience in AI applications to precision oncology or biomarker discovery.
Internship Details
Hybrid Schedule: 3 days onsite in Princeton, NJ; 2 days remote per week.
Eligibility: Open to PhD or advanced Master’s students; not eligible for visa sponsorship.
Hands-On Exposure: Gain practical experience in radiomics, multimodal AI, biomarker discovery, and computational oncology.
Mentorship & Development: Work with experienced scientists and data professionals in a collaborative, innovative environment.
About Genmab
Genmab is an international biotechnology company committed to improving patient outcomes through innovative antibody therapeutics. Over 25 years, the company has developed next-generation antibody platforms, including bispecific T-cell engagers, antibody-drug conjugates, and immune checkpoint modulators.
With a global presence across North America, Europe, and Asia-Pacific, Genmab integrates translational, quantitative, and data sciences to advance cutting-edge therapies. By 2030, Genmab aims to revolutionize cancer and serious disease treatment with Knock-Your-Socks-Off (KYSO®) antibody medicines.
Learn more at Genmab.com.
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