Genmab · 3 days ago
Translational Imaging & Multi-Omics Data Science Intern
Princeton, NJ
Internship
Hybrid
Intern
Start in 2026 SummerGenmab is an international biotechnology company dedicated to improving the lives of patients through innovative antibody therapeutics. They are seeking a motivated and curious intern to join the Translational Data Science team, focusing on integrating digital imaging features with multi-omics data to uncover therapeutic opportunities.
BiotechnologyHealth CareManufacturingMedical
No H1B
Responsibilities
Process and curate histopathology and/or radiomics image datasets and multi-omics profiles from public and internal sources
Extract quantitative image features using deep learning-based models (e.g., foundation models for whole-slide analysis)
Integrate imaging-derived metrics with molecular and clinical data for downstream analytics
Build and evaluate graph-based models linking patients and molecular/imaging features
Apply GNNs and related architectures to explore subtype stratification and biomarker discovery
Utilize cloud computing platforms (e.g., Databricks, AWS) for scalable computation
Identify molecular and phenotypic patterns associated with distinct subgroups
Conduct pathway and gene set enrichment analyses to characterize biological differences
Explore potential therapeutic hypotheses using public drug response and perturbation datasets
Develop interpretable visual and computational frameworks that highlight molecular–morphological relationships
Summarize findings for scientific and strategic discussions through figures, reports, and presentations
Qualification
Required
Current graduate or undergraduate student in Computer Science, Bioinformatics, Data Science, Computational Biology, or related field
Proficiency in Python or R; experience with machine learning libraries (e.g., PyTorch, TensorFlow)
Familiarity with image analysis and omics data processing
Strong analytical and problem-solving skills, with attention to detail
Interest in translational and precision medicine research
Preferred
Experience with graph-based learning or network biology approaches
Background in digital pathology, image analysis, or biomedical data integration
Familiarity with cloud-based analytical environments (Databricks, AWS)
Excellent communication skills and ability to work in a collaborative team
Company
Genmab
Genmab is a biotechnology company focused on developing fully human antibody therapeutics for the potential treatment of cancer.
Founded in 1999
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
$11.7BKey Investors
Morgan Stanley Senior FundingGlaxoSmithKlineIndex Ventures
2025-11-18Post Ipo Debt· $6B
2025-09-29Post Ipo Debt· $5.5B
2010-07-01Post Ipo Equity· $134M
Leadership Team
Anthony Pagano
Chief Financial Officer
Anthony Mancini
EVP & Chief Operating Officer
Recent News
pharmaphorum
2026-01-03
Clinical Trials Arena
2026-01-03
2025-12-31
Company data provided by crunchbase