Data Science Intern: Spatial Transcriptomics in Oncology

Genmab; Utrecht; Ibrido; EUR 7100 - 9600; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work setup

Health insurance

Paid time off

Employee support programs

Descrizione del lavoro

Genmab is seeking a Data Science intern in Utrecht, Netherlands. You will analyze spatial transcriptomics data from solid tumors and help identify antibody-based therapeutic targets.

You will collaborate with Target and Product Discovery teams to turn complex data into actionable biological insights. Gain hands-on experience in analytical method development, data analysis and presenting results to scientific colleagues in a full-time hybrid internship.

Competenze

• Enrolled in a Master's program in Molecular Biology, Biomedical Sciences, Bioinformatics, or related field at a University in the Netherlands.
• Formal, mandatory component required for graduation; cannot be completed after graduation.
• Experience with Python and/or R programming.
• Foundational knowledge of cancer biology and/or immunology.
• Interest or experience in spatial transcriptomics data analysis and antibody drug discovery.

Mansioni

• Perform advanced analysis of spatial transcriptomics datasets from solid tumors.
• Develop computational approaches for using spatial data in tumor-target discovery.
• Translate findings into insights to inform antibody product discovery.
• Communicate findings effectively through reports and presentations.

Conoscenze

Python

R

Spatial transcriptomics

Cancer biology

Team collaboration

English communication

Formazione

Master's in Molecular Biology or related field

Strumenti

Python tooling

R tooling

Bioinformatics tools

Descrizione del lavoro

Genmab is seeking a Data Science intern in Utrecht, Netherlands. You will analyze spatial transcriptomics data from solid tumors and help identify antibody-based therapeutic targets.

You will collaborate with Target and Product Discovery teams to turn complex data into actionable biological insights. Gain hands-on experience in analytical method development, data analysis and presenting results to scientific colleagues in a full-time hybrid internship.