Efficient GPCR Lead Discovery by Combining Novel Biosensors with Computational Biology.

Systems Biology as a Tool for Rational Drug Design

Duration: 12 months, starting immediately
Closing date: July 1st, 2017
Location: Villigen, Switzerland


About 40% of all marketed drugs target G protein-coupled receptors (GPCRs). However, linking in vitro with in vivo data is still an unsolved challenge. InterAx Biotech (interaxbiotech.com) AG has initiated a collaborative project on Rational Drug Design with the Paul Scherrer Institute in Villigen, Switzerland. Together, we are looking for an excellent and highly motivated systems biologist who wants to be part of a very challenging project with high academic and industry impact.
 
InterAx Biotech AG is a rapidly growing Swiss Biotech company based in Villigen, Switzerland. We are a friendly and dynamic interdisciplinary team fully committed to the discovery of functional selective therapeutics for G protein-coupled receptors (GPCRs). The company builds on its unique Biosensor engineering platform and on its computational approaches to discover the next life-changing therapeutics.
 
The Paul Scherrer Institute (PSI) is the largest research centre for natural and engineering sciences within Switzerland. PSI performs cutting-edge research in the fields of matter and materials, energy and environment and human health. By performing fundamental and applied research, PSI works on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore about one quarter of PSI staff are post-docs, post-graduates or apprentices. Altogether PSI employs 2000 people.

 

We are looking for a

 

Postdoctoral Fellow

 

Your tasks

 

  • Develop a mathematical model of G protein-coupled receptor (GPCR) signaling focusing on the temporal aspects of ligand–receptor interactions and its implications on biased signaling

  • Determine optimal conditions for acquisition of experimental data

  • Integrate and optimize the model with experimental data

  • Predict from the model the most informative wet-lab assays to characterize drug candidates

  • Regularly report and discuss the progress of the project with the industry partner


Your profile

  •  PhD in biology, biochemistry, computer science or in a related area

  •  Experience in modelling of biochemical networks

  •  Knowledge of GPCR biology

  •  Good knowledge of English


Contact us

 

If you are interested to join an inspirational and successful team, in which your contribution is essential and highly valued, please send your application including CV, motivation letter and references to Dr. ObscureRizkEmail and apply online at https://www.psi.ch/pa/job-opportunities/1546

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