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lead several parallel implementation efforts for Merit's business systems, organization risk preparedness, and corporate software development needs. Manage medium to large-scale projects determined by
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are interested in understanding the evolution and genetic basis of human disease. For this purpose, we analyze genomic and phenotypic data that requires writing computer programs that can read and wrangle various
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programs that can read and wrangle various data types (e.g. summary statistics from genome-wide association studies and next generation sequencing output), carry out statistical computation, and output
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computing clusters, parallel processing, and data pipelining. Strong analytical and statistical background, with the capability to interpret complex biomedical data accurately. Direct experience handling and
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modeling. Extensive experience working with high-performance computing clusters, parallel processing, and data pipelining. Strong analytical and statistical background, with the capability to interpret
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& Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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this aberrant nerve activation. We employ a series of chronic telemetry-based approaches as well as acute electrophysiological preparations to evaluate the changes in nerve activity in parallel
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computational methods to partner with the Director of Michigan Drug Discovery in advancing drug discovery research at the University of Michigan (U-M). With its administrative home in the Life Sciences Institute
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Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical