Computational Biology Intern

At Genmab, we are dedicated to building extra[not]ordinary futures by developing antibody products and groundbreaking antibody medicines that change lives and the future of cancer treatment.

We are seeking a highly motivated Computational Biology Intern to join our Translational Research team. This role focuses on high-resolution characterization of the tumor microenvironment using multi-omic clinical datasets.

The intern will work at the interface of bioinformatics and clinical genomics, contributing to the development of analytical frameworks that transform raw sequencing outputs into actionable biological insights.

Key Responsibilities

• Technical QC Analysis: Evaluate and automate extraction of high-dimensional quality metrics
• Pipeline Optimization: Utilize Python, R, and Bash to refine genomics workflows
• Network & Pathway Analysis: Integrate DNA and RNA sequencing data
• Spatial Transcriptomics: Support processing of 10x Visium HD data
• Immuno-Genomics: Characterize immune landscape within clinical cohorts

Requirements

• Currently pursuing BSc, MSc, or PhD in Computational Biology, Bioinformatics, Genomics, or related field
• Advanced proficiency in Python (Pandas, BioPython) and/or R (Tidyverse/Bioconductor)
• Experience with Bash is required
• Solid understanding of NGS lifecycle, including library preparation artifacts, alignment algorithms, and variant calling

Internship runs June - August 2026. Hybrid schedule (3 days in office, 2 days remote). Not eligible for sponsorship.