Your position
1. Apply and develop model-based and statistical approaches to analyze and interpret large scale dynamic profiles of small molecules effects on cancer cell metabolism.
2. Adapting existing and possibly developing improved experimental protocols for the high-throughput metabolomics analysis of drug-perturbed cells.
3. Unravel the hidden potential of apparently inactive molecules in interfering with cellular metabolism.
4. Support and preparation of scientific reports and journal articles
Your profile
Essential:
5. PhD in (Bio)Physics, (Bio)engineering, Systems Biology, Bioinformatics/Computational Biology, or related fields.
6. Solid experience in data analysis
7. Experience with programming language (e.g. Matlab, R or Python) Motivation to work in an international research environment
Highly desirable:
8. Experience in kinetic modeling and/or hands-on laboratory experience
9. Good communication skills
10. Interest in mathematical modeling of metabolic and regulatory/signaling network