The University of Pittsburgh Drug Discovery Institute (UPDDI) is part of a multi-scale multidisciplinary effort to identify biomarkers related to traumatic brain injury (TBI) and to develop a drug discovery pipeline for treating TBI-related neurodegeneration. UPDDI invites applications for a full-time postdoctoral position in Computational Systems Biology. The incumbent will be responsible for developing a quantitative systems pharmacology (QSP) pipeline for using transcriptomic data to predict drugs that reduce TBI-associated neurodegeneration, and for implementing biological models to test the predictions.

The primary duties are analysis of RNA sequencing data from in vitro and in vivo TBI models (including single cell RNA-seq), inferring signaling pathways and specific targets related to TBI progression and recovery, and network- or structure-based computational prediction of drugs that modulate the course of TBI by targeting these pathways; and development and implementation of human multi-cell type 3D models to test the predicted drugs. Additional duties include participation in the training/mentoring of graduate students, writing papers, and making presentations in scientific meetings relevant to your research activities.

Assists in the execution of research objectives, data collection, and data management. Performs routine procedures, statistical analysis, scientific analysis, and reporting. Integrates data and data sets, performs descriptive and exploratory analysis, and creates routine reports and analysis reporting tools. Utilizes statistical software and adheres to all protocols.

Assists in the execution of research objectives, data collection, and data management. Performs routine procedures, statistical analysis, scientific analysis, and reporting. Integrates data and data sets, performs descriptive and exploratory analysis, and creates routine reports and analysis reporting tools. Utilizes statistical software and adheres to all protocols.

The University of Pittsburgh Drug Discovery Institute (UPDDI) is part of a multi-scale multidisciplinary effort to identify biomarkers related to traumatic brain injury (TBI) and to develop a drug discovery pipeline for treating TBI-related neurodegeneration. UPDDI invites applications for a full-time postdoctoral position in Computational Systems Biology. The incumbent will be responsible for developing a quantitative systems pharmacology (QSP) pipeline for using transcriptomic data to predict drugs that reduce TBI-associated neurodegeneration, and for implementing biological models to test the predictions.

The primary duties are analysis of RNA sequencing data from in vitro and in vivo TBI models (including single cell RNA-seq), inferring signaling pathways and specific targets related to TBI progression and recovery, and network- or structure-based computational prediction of drugs that modulate the course of TBI by targeting these pathways; and development and implementation of human multi-cell type 3D models to test the predicted drugs. Additional duties include participation in the training/mentoring of graduate students, writing papers, and making presentations in scientific meetings relevant to your research activities.