To reinforce our team in Basel, Switzerland, we are seeking a Natural Sciences Analyst in the Data Analytics Center.
Natural Sciences Analyst in the Data Analytics Center


University of Basel (Unibas)

Work Location

Basel, Switzerland

Employment fraction

80% - 100%

Type of contract


Job tasks
The University of Basel is promoting the growing area of Data Science by establishing a university-wide Data Analytics Center (DAC). The goal of the DAC is the advancement of research and the development of transdisciplinary synergies at the University of Basel and its partners. The service and support activities of the DAC will be provided by the Center for Scientific Computing (sciCORE) and the Digital Humanities Lab (DHLab) in collaboration with the Department of Mathematics and Computer Science (DMI). 

We invite applications for a data analysis support specialist to support quantitative research in biomedical and natural sciences.

The successful candidate will provide consulting and execute data analysis in research projects in various domains of natural sciences (life sciences, physics, chemistry). The primary mandate is to support research groups in need of data analysis by applying appropriate statistical, computational, and visualization methods, helping with experimental design, and making fundamental methodological advances. The position will involve hands-on data analysis and contributions to teaching (postgraduate courses), and will be hosted at sciCORE.

Profile requirements
Our ideal candidate has a strong and diversified experience (postdoctoral level) in data analysis, in particular with applications involving analysis of complex data sets (multi-scale data) using machine learning, deep learning, and other advanced statistics. Experience in high-performance computing environments (Linux) and knowledge of R and Python are required. Previous work with imaging data or *omics data, and familiarity with at least one state of the art deep learning framework will be an asset. Given the important service aspect of the position, we expect our candidate to be flexible, proactive, capable of following several projects in parallel and to have a curiosity for natural sciences in general.

How to apply
If you are interested in this challenging and highly interesting position, please send your application including CV and letter of motivation via online by using the following link :

Applications via email or postal services will not be considered.

For further information regarding the position please contact Dr. Geoffrey Fucile by e-mail: