About the lab
The Data Mining and Modeling for Biomedicine group (headed by Yvan Saeys) at the VIB Center for Inflammation Research and Ghent University is located in the historical city of Ghent, Belgium. The Saeys lab is at the forefront of computational method development in single-cell omics and has a longstanding collaboration with many wet labs in immunology, oncology, and plant biology. Recently, the lab has started a single-cell facility with advanced access to the newest single-cell multi-omics technologies (scRNA-seq, scATAC-seq, CITE-seq, and spatial proteomics and transcriptomics). A major focus of the lab is to model the dynamics of biological systems and characterize their underlying gene regulatory networks. To this end, the lab develops new computational machine learning methods to improve the current state-of-the-art.
The VIB-UGent Center for Inflammation Research (IRC) aims at unravelling the mechanisms of immunity and inflammation for better prevention and therapy of human chronic disease. Several high-end core facilities support and improve our research activities: microscopy, flow cytometry, transgenesis, cell culture, recombinant protein technology, single cell. For more information, please visit: https://www.irc.ugent.be
The University of Ghent is a sustainable, family-friendly organization, which invests in its employees’ growth. We encourage diversity and attach great importance to an inclusive working environment and equal opportunities, regardless of gender identity, disability, race, ethnicity, religion or belief, sexual orientation, or age. We encourage people from diverse backgrounds and with diverse characteristics to apply.
The successful candidate will be responsible for developing innovative data visualization solutions, including web-based data visualization portals, automated and scalable pipelines for data science, and maintenance of the software repositories and tools developed by the labs of Yvan Saeys at the VIB Center for Inflammation Research and Bert De Rybel at the VIB Center of Plant Systems Biology.
- Bachelor in computer science, informatics, or software development
- Hands-on experience with Linux/Unix environments
- Good working knowledge of relational databases and SQL
- Experience with virtualization technologies (e.g. Docker, Singularity)
- Experience with workflow technologies (e.g. Nextflow)
- Experience with large scale computing/cluster computing/big data technologies is a plus
- Experience with visualization technologies is a plus (e.g. D3)
- A job in a stimulating international research environment that contributes to life science research at the highest standards
- A flexible working environment
- Competitive salary and benefits
Starting date: as soon as possible
How to apply?
Please complete the online application procedure and include a detailed CV, two reference letters, and a motivation letter.
For more information: firstname.lastname@example.org