Postdoctoral positions in Computational Biology in the Florea Lab, Johns Hopkins University

The Florea Lab at the Johns Hopkins University, Department of Genetic Medicine and Department of Computer Science, develops state-of-the-art algorithms for analyzing next generation sequencing data to solve problems in biology and medicine. Our research revolves around building and applying computational models and tools to characterize genome and gene systems, their variations, and role in physiology and disease. We are seeking an enthusiastic candidate to join our efforts in developing algorithms for alternative splicing detection and characterization from massive collections of bulk and single-cell RNA sequencing data, and for modeling interactions between RNA processing and epigenetic pathways using integrated omics data. Competitive candidates will have a PhD degree in Computer Science, Applied Mathematics or related fields with research experience in Computational Biology; strong programming and analytical skills; and demonstrated written communication and manuscript preparation skills through first authored publications. A background in algorithms or machine learning is strongly preferred. We particularly welcome and encourage applications from women and under-represented groups to join our team. To apply, please send the following documents to Liliana Florea (florea [at] 1) a detailed CV, 2) up to 1 page statement of interest, and 3) two references. For more information please see our web site at