Data Science Intern
4 weken geleden
At Genmab, we're committed to building innovative futures together, by developing antibody products and pioneering therapies that change the lives of patients and the future of disease treatment.
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. The project is vital for assessing the safety of new drug candidates before they advance to clinical trials, focusing on critical tasks such as target validation and toxicity prediction.
Responsibilities
- Database Construction: Develop a robust, user-friendly scRNA database for storing, querying, and analyzing comparative analysis between cynomolgus monkeys and humans at a single-cell resolution.
- Data Integration: Identify and integrate the latest datasets involving cynomolgus monkey, applying cutting-edge techniques for data harmonization and quality assessment.
- Cell Type Annotation Standards: Establish a dual approach for annotating cell types within the cyno scRNA landscape, utilizing both ontology-based standardization and foundation models.
- Differential Expression Analysis: Investigate differentially expressed (DE) genes relevant to antibody development, focusing on those coding for potential therapeutic targets.
About You
- You are passionate about our purpose and genuinely care about our mission to transform the lives of patients through innovative treatment.
- You bring rigor and excellence to all that you do, believing in our rooted-in-science approach to problem-solving.
- You are a generous collaborator who can work in teams with diverse backgrounds.
- You are determined to do and be your best, taking pride in enabling the best work of others on the team.
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