Prolongation of kidney transplant survival through risk stratification of omics-wide incompatibilities using systems biology – a personalized medicine approach. (WWTF Project)
The Bioinformatics group in the Business Unit Molecular Diagnostics at the Austrian Institute of Technology - AIT is currently looking for a PhD student to establish bioinformatics methods and pipelines for predicting the outcome of kidney transplant survival. The candidate will work on the following topics: identifying LoF and nsSNPs variants; analyzing protein chip data; creating methods for selecting/screening epitopes for peptide arrays; analyzing peptide array data; integrating the data to yield an integrative map of factors leading to organ rejection.
This work will be done in collaboration with the Medical University of Vienna (Prof. Rainer Oberbauer) and Center for Molecular Medicine & Medical University (Prof. Christoph Binder).
*) Analyzing peptide and protein chip data
*) Development of bioinformatics pipelines for LoF and nsSNPs identification
*) Creating methods for selecting/screening epitopes for peptide arrays
*) Establishing a data platform for integration of factors leading to kidney organ rejection
*) Knowledge about protein structures; protein interactions; epitope prediction; variant annotation
*) Experience with programming languages and Linux command line tools
*) Data analysis and data integration knowledge
*) Quality driven and critically thinking personality
*) Project start: 01.01.2017
*) Duration: 3 years
*) Place of employment at the AIT - Muthgasse 11, 1190 Vienna, Austria
*) FWF Salary
*) Contact: Stephan Pabinger, email@example.com