Postdoctoral Fellow in Computational Biology/Statistical Bioinformatics

The CBG seeks a highly skilled and motivated postdoctoral fellow to work on an exciting project that aims at developing a computational pipeline for classification and analysis of patients with the systemic inflammatory response syndrome (SIRS). SIRS is a life-threatening condition characterized by a mortality of 7-25% depending on timely recognition of the underlying disease and triggers. The heterogeneity of SIRS symptoms, however, challenges initial therapeutic decisions.

The successful postdoctoral candidate will develop computational and statistical models using multi-omics data (including transcriptomics, proteomics, lipidomics, and immunomics data) generated from patients to identify novel diagnostic patterns/biomarkers that match clinical findings. The modeling methodologies include, but not limited to, statistical modeling and machine learning, network biology, bioinformatics and information theory, The project is funded by ERA PerMed and includes a consortium of international collaborators, including medical practitioners with existing record of achievements in treatment of SIRS.

In addition, the successful candidate will curate the group’s contribution to the consortium and provide it with statistical and computational support, which requires ability to work with various professional backgrounds (biologists, doctors and others).