Genmab · 23 hours ago
Computational Biology Intern
Princeton, NJ
Internship
Hybrid
InternGenmab is an international biotechnology company dedicated to improving the lives of patients through innovative antibody therapeutics. They are seeking a highly motivated Computational Biology Intern to join their Translational Research team, focusing on the high-resolution characterization of the tumor microenvironment using multi-omic clinical datasets.
BiotechnologyHealth CareManufacturingMedical
No H1B
Responsibilities
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
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
Develop scripts to structure and tabulate molecular features for use in predictive models of therapy response
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
Support the processing and quality assessment of 10x Visium HD data to characterize the spatial architecture of tumor-immune interactions
Contribute to the characterization of the immune landscape within clinical cohorts, utilizing gene expression signatures to evaluate immune cell infiltration and activation
Maintain high-standard, version-controlled code (Git) within a Unix/Linux environment to ensure all data engineering steps are transparent and reproducible
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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