Genmab · 8 hours ago
Computational Biology Intern
Princeton
Internship
Hybrid
InternGenmab is an international biotechnology company focused on improving patient lives through innovative antibody therapeutics. They are seeking a highly motivated Computational Biology Intern to join their Translational Research team, where the intern will work on high-resolution characterization of tumor microenvironments and contribute to the development of analytical frameworks for clinical datasets.
BiotechnologyHealth CareManufacturingMedical
No H1B
Responsibilities
Technical QC Analysis: Evaluate and automate the extraction of high-dimensional quality metrics (e.g., library complexity, UMI consensus efficiency, and fragment size distribution) to distinguish between technical noise and true biological signal
Pipeline Optimization: Utilize Python, R, and Bash to refine genomics workflows, ensuring standard outputs (BAM, VCF, and count matrices) are optimized for sensitivity, specifically in low-input ctDNA and FFPE samples
Feature Extraction: Develop scripts to structure and tabulate molecular features for use in predictive models of therapy response
Network & Pathway Analysis: Integrate DNA and RNA sequencing data to map the functional consequences of oncogenic mutations. Apply systems biology approaches to correlate mutational status with transcriptomic pathway perturbations and protein-interaction networks
Spatial Transcriptomics: Support the processing and quality assessment of 10x Visium HD data to characterize the spatial architecture of tumor-immune interactions
Immuno-Genomics: Contribute to the characterization of the immune landscape within clinical cohorts, utilizing gene expression signatures to evaluate immune cell infiltration and activation
Workflow Development: Maintain high-standard, version-controlled code (Git) within a Unix/Linux environment to ensure all data engineering steps are transparent and reproducible
Reporting: Synthesize complex technical metrics into concise data summaries for cross-functional teams of computational and translational scientists
Qualification
Required
Currently pursuing a BSc, MSc, or PhD in Computational Biology, Bioinformatics, Genomics, or a related quantitative field
Advanced proficiency in Python (Pandas, BioPython) and/or R (Tidyverse/Bioconductor). Experience with Bash is required
Solid understanding of the NGS lifecycle, including library preparation artifacts, alignment algorithms, and variant calling principles
A strong interest in data hygiene, systems biology (PPI networks), and the unique engineering challenges associated with clinical oncology datasets
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
2026-01-20
2026-01-19
2026-01-19
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