The Medical University of Vienna is hosting a highly motivated PhD in collaboration with the digital drug development startup Delta4. The PhD Project will be part of “IMPROVE-PD” (Identification and Management of Patients at Risk – Outcome and Vascular Events in Peritoneal Dialysis), an EU H2020 Marie Skłodowska-Curie ITN, and will be jointly supervised by computational biology experts and translational researchers from the academic and private sector.
The IMPROVE-PD consortium connects leading academic and industrial researchers, for understanding the mechanisms of inflammation-driven cardiovascular disease in PD patients, developing individualized approaches to identify those at risk, and testing new therapies.
The goal of this project will be to apply the Delta4 in-silico platform for generating novel candidates of additives or drugs with the potential to counteract the inflammatory phenotype and lower CV risk in PD patients, integrating other relevant pathomechanisms forwarded from WP1 and WP2. The ESR will explore non-obvious mechanistic links in the big data platform utilizing information on protein coding genes and exploiting public domain data on multiple levels (text mining, omics data, protein interaction). In close collaboration with the ESRs in WP1 and WP2, ESR15 will generate entry points for precision medicine approaches and in-vivo testing of novel compounds.
We search for a highly motivated candidate, holding Master degree in bioinformatics/computational biology or equivalent, who has a solid understanding of cellular and molecular biology.
Add-on skills (nice-to-have):
Funded for 3 years, attractive salary according to regulations of Marie Skłodowska-Curie Actions.
The application must be accompanied with the following documents: Letter of motivation, CV, recommendation letters (e.g. one by your Master thesis supervisor) and 2 referees contact details.
Send your application directly to: email@example.com, Priv.Doz. DI Dr. Klaus Kratochwill, Head of Laboratory, Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis (CDL-MSRPD)