Postdoc Position in Quantitative Biology (Zampieri Lab)
Postdoc Position in Quantitative Biology (Zampieri Lab)
University of Basel
Basel, Switzerland
The Zampieri group offers a post-doctoral research opportunity in the context of systems pharmacology, computational biology and metabolic regulation. This position will be based in the Department of Biomedicine in Basel, one of the world's leading locations for life sciences, home to several companies and institutions.
The mission of the group is to understand fundamental mechanisms regulating short- and long-term metabolic adaptation to genetic and chemical perturbations to find new and unconventional therapeutic strategies, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling.
The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism. Available resources at the department include a mouse facility, high-end FACS, IT and microscopy facilities, the Life Sciences Training Facility (for gene expression and proteome profiling) and much more.
The candidate is expected to have a strong background and interest in quantitative disciplines, excellent teamwork and communication skills in English. The candidate will have the opportunity to develop the following project with a lot of academic freedom and strong support from senior members in the lab, and at the same time to play an active role in shaping and in creating inspiring research and working environment.
Project Combine mathematical models of metabolism with time resolved metabolic profiling of drug effects to characterize drug Mode of Action and unravel fundamental principle of metabolic regulation in cancer cells. We are looking for a highly motivated Post-Doc researcher to study how chemical perturbations interfere with metabolism (40% wet lab and 60% computational, can be adapted based on the candidate).
Your position
- Apply and develop model-based and statistical approaches to analyze and interpret large scale dynamic profiles of small molecules effects on cancer cell metabolism.
- Adapting existing and possibly developing improved experimental protocols for the high-throughput metabolomics analysis of drug-perturbed cells.
- Unravel the hidden potential of apparently inactive molecules in interfering with cellular metabolism.
- Support and preparation of scientific reports and journal articles
Your profile
Essential:
- PhD in (Bio)Physics, (Bio)engineering, Systems Biology, Bioinformatics/Computational Biology, or related fields.
- Solid experience in data analysis
- Experience with programming language (e.g. Matlab, R or Python) Motivation to work in an international research environment
Highly desirable:
- Experience in kinetic modeling and/or hands-on laboratory experience
- Good communication skills
- Interest in mathematical modeling of metabolic and regulatory/signaling network
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