Translational Data Science Intern: Multimodal AI for Cancer

Genmab; Utrecht; On-site; EUR 7,600 - 9,100; Full time

Benefits offered by this job

Pension

Health insurance and wellness benefits

Paid time off

Employee support programs

Job summary

Genmab is seeking an motivated intern to join the Translational Data Science team in Utrecht. You will work on multimodal models that combine clinical imaging with molecular data and develop an interpretable tissue-token codebook that links radiology, pathology, and molecular programs.

Public and commercial data will be used to advance biomarker discovery and biologic hypothesis generation. You will collaborate with computational biologists, pathologists, imaging scientists, and clinicians,

Qualifications

• Enrolled in a Dutch university Master’s program in Computer Science, AI, or related quantitative field.
• Internship must be a mandatory component of your degree program for graduation; not for graduates or extracurricular internships.
• Available for a minimum of 6 months.
• Proficiency in Python and deep learning frameworks such as PyTorch.
• Experience developing CNNs, transformers, self-supervised models, or multimodal architectures for medical imaging, digital pathology, omics, or related applications.
• Familiarity with medical imaging libraries/workflows (MONAI, PyRadiomics, OpenSlide) is desirable.

Responsibilities

• Design and validate multimodal models that integrate imaging with molecular and clinical data to identify meaningful biomarkers.
• Learn discrete tissue tokens across scales to create an interpretable biologic dictionary.
• Integrate data from HEST-1k, TCGA, CPTAC-linked cohorts, radiogenomic imaging cohorts, and internal resources.
• Connect learned representations with genetic alterations, immune profiles, pathway activity, and treatment outcomes.
• Write clean, modular, reproducible code and conduct cross-validation and external validation.
• Collaborate with computational biologists, bioinformaticians, pathologists, imaging scientists, and clinicians and present progress internally.

Skills

Python

PyTorch

Deep learning

CNNs

Transformers

Multimodal architectures

Medical imaging

Experiment tracking

Weights & Biases

Data management

Education

Master's degree in CS/AI

Tools

MONAI

PyRadiomics

OpenSlide

Job description

Genmab is seeking an motivated intern to join the Translational Data Science team in Utrecht. You will work on multimodal models that combine clinical imaging with molecular data and develop an interpretable tissue-token codebook that links radiology, pathology, and molecular programs.

Public and commercial data will be used to advance biomarker discovery and biologic hypothesis generation. You will collaborate with computational biologists, pathologists, imaging scientists, and clinicians,