The Saeys Lab is known for its innovative work in bioinformatics and computational biology, including the analysis of cytometry and single-cell transcriptomics data, cell-cell communication inference and spatial omics.
As a key member of our team, you will:
- Implement and further develop NicheNet, our advanced cell-cell communication tool, in Python.
- Enhance the interoperability of NicheNet with various other tools used for single-cell RNA-seq data analysis and cell-cell communication inference.
- Contribute to the development of bioinformatics software, driving forward our research capabilities.
Profile
Essential
- You obtained a Bachelor's or Master's degree in Bioinformatics, Informatics, Computer Science, Computer Engineering or a related field
- Proficient in Python
- Strong communication skills in English
Desirable but not required
Preference will be given to candidates with experience with
- programming in R
- experience or interest in single-cell RNA-seq data analysis and cell-cell communication.
Key personal characteristics
- Strong interpersonal skills
- Ability to work independently and as part of a team
We offer
- Competitive stipend and benefits package
- A 2-year full-time position
- A versatile and challenging academic position with very diverse contacts in a world-class research environment operating at an international level, and various opportunities to broaden your expertise.
- Access to state-of-the-art compute infrastructure
- Collaborative and supportive research environment
- Training courses in academic, technical, and career skills.
- Opportunities for professional development and networking
How to apply?
Please complete the online application procedure and include a detailed CV, two reference letters, and a motivation letter.
For further information and questions, please send an email to Yvan Saeys ([email protected]).
