Data Science Intern

1 maand geleden

Utrecht, Utrecht, Nederland Genmab Voltijd

At Genmab, we're dedicated to creating innovative futures through the development of antibody products and pioneering therapies that transform the lives of patients and the future of cancer treatment and serious diseases.

The Role

This exciting opportunity with our translational data science team at Genmab's Utrecht office allows you to dive into the world of single-cell sequencing as a student intern. You will play a key role in developing a comprehensive single-cell RNA (scRNA) database that enhances our understanding of therapeutic interactions at the cellular level across species.

Responsibilities

  • Develop a robust, user-friendly scRNA database for storing, querying, and analyzing comparative analysis between cynomolgus monkeys and humans at a single-cell resolution.
  • Identify and integrate the latest datasets involving cynomolgus monkey, applying cutting-edge techniques for data harmonization and quality assessment.
  • Establish a dual approach for annotating cell types within the cyno scRNA landscape, utilizing both ontology-based standardization and foundation models.
  • Investigate differentially expressed (DE) genes relevant to antibody development, focusing on those coding for potential therapeutic targets.

Requirements

  • Currently enrolled in an undergraduate program in Computational Biology, Genetics, or a related field; ideal for final-year students or master's candidates.
  • Proficiency in R or Python; familiarity with scRNA-seq data is helpful.
  • Creativity in presenting data, good teamwork skills, and a willingness to learn and contribute to a team.

About Genmab

We're a company that values innovation, science, and collaboration. Our agile working environment is designed to foster creativity and connection among our employees. Whether you're in one of our collaboratively designed office spaces or working remotely, we thrive on connecting with each other to innovate.

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