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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 21 days ago
: Inflammation and Liver Disease, Joan Clària Project: Network-based integration of lipidomics and transcriptomics data to tackle immune dysfunction in advanced chronic liver disease (INSPIRE) Desirable criteria
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plasma and iPSC-derived human disease models. You will investigate disease-related molecular signatures using metabolomics, lipidomics, proteomics and genomics, and combine these data using statistical and
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legal regulations, cooperating with the team responsible for endothelial function and microcirculation assessments, as well as biomarker, metabolomic, lipidomic and proteomic analyses, participating in
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well as biomarker, metabolomic, lipidomic and proteomic analyses, participating in the preparation of study results, analysis of clinical data, and preparation of periodic reports, project reports and scientific
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responsible for biomarker, metabolomic, lipidomic, proteomic and other laboratory analyses conducted within the project, participating in the development of research results, statistical analysis of clinical
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chemical screens, single cell and spatial transcriptomics, proteomics, lipidomics, genomics, optogenetics and histology. Among the key duties of this position are the following: Undertake bioinformatics
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, metabolomics, lipidomics, and other omics data to contextualize metabolic models and investigate complex biological questions. Interpret modeling and multi-omics results to identify biological mechanisms
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; chemically constrained fragmentation spaces; explainable annotation of mass spectra; computational lipidomics; and algorithmic cheminformatics for mass spectrometry. The role requires the ability to connect
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samples, validated mouse models of hemorrhagic shock, a 3D endothelial flow model, and high-throughput proteomics, metabolomics, and lipidomics. Projects include therapeutic modulation of APC activity via
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an interdisciplinary research team Preferred Qualifications Experience analyzing metabolomics, proteomics, lipidomics, transcriptomics, or other high-dimensional molecular data Familiarity with methods such as dimension