The Integrative Computational Network Biology group, led by ICREA Research Professor Nataša Pržulj, is looking for two postdoctoral researchers to work in analyzing large-scale molecular and patient data to aid personalizing treatment. The project will be in the context of the recent prestigious ERC Consolidator grant of Prof. Pržulj titled “Integrated Connectedness for a New Representation of Biology”. The successful candidates will address multiple topics: developing and applying sophisticated models and algorithms carefully tuned to extract relevant biological and medical knowledge from systems-level real-world molecular and medical data, including whole genome sequences, epigenetic data, protein-protein interaction networks, signaling networks, metabolic networks, transcriptional regulation networks, gene and disease ontologies, drug similarity networks, drug-target interactions, drug-drug interactions, patient records, lifestyle data, electronic health records etc. The aim is to mine these inter-linked heterogeneous networked data for new biological and medical insight that would lead to improving diagnostics, discovering new biomarkers, improving patient stratification and treatment, personalizing treatment and facilitate rational drug development. The successful candidates will join the new Integrative Computational Network Biology (ICONBI) research group within the Life Sciences departmentwill join the new Integrative Computational Network Biology (ICONBI) research group within the Life Sciences department, which integrates independent senior scientists that work on various aspects of computational biology. The Researchers will work in a highly sophisticated HPC environment, will have access to systems and computational infrastructures, and will establish collaborations with experts in different areas.