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Ii) develop of machine learning and computational discovery methods for public health research. Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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H ands-on experience with a broad range of analytical methods and characterization techniques including microscopy, PCR, Sanger/Illumina sequencing. Comprehensive understanding of Cancer Biology, expertise in bioinformatic techniques, computational workflows, NGS based mutational screens and multi-omics data analysis & interpretation.
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Focus will be on PacBio sequencing based computational analysis of long-read single DNA molecule sequencing assays." M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics.
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Master's or bachelor’s degree in molecular biology, Biophysics, Computational Biology, or related field. Experience in next-generation sequencing. Master's or bachelor’s degree in molecular biology, Biophysics, Computational Biology, or related field.
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More specifically, this person will participate the design of genomic studies in preclinical and clinical research, implement cutting-edge informatics and statistical methods and tools to analyze the data including WGS/WES/targeted sequencing, RNAseq, proteomics data, metabolomics data, etc, and perform integrative analysis of genomic data and available clinical data in clinical trials.
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As a member of our team, you will work closely with other scientists, research associates, automation engineers, and computational biologists to develop and productionize pathogen sequencing and analysis pipelines for wastewater samples with an initial focus on respiratory viruses.
$138,000 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Next generation sequencing (NGS) sample preparation, cell culture, flow cytometry. Molecular and Cytogenetic Pathology (MCP) at University of Chicago was created to bring together the latest in genomics technologies, computational biology approaches and scientific knowledge for the care of patients at the University and the broader community.
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Preferred Experience MSc. or PhD in Bioinformatics, Computational Biology, Computer Science, Software Engineering, or related field. This position will lead a team of bioinformaticians and data scientists developing and leveraging multi-omics assays based on next-generation sequencing (NGS), computer vision, and other advanced analytical approaches.
$190,000 - $257,500 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Research Scientist III - Statistical Machine Learning, Computational Biology, and GenomicsJob Summary:The Genomic Data Modeling lab at Seattle Children's Research Institute, led by Dr. Mohammadi, seeks a highly motivated Research Scientist III interested in method development to join ongoing systems genetics and precision medicine projects.
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Major topics of interest include (but are not limited to): circuit, genetic, epigenetic, and molecular mechanisms underlying SUD. Researchers using cutting-edge technologies involving single-cell in vivo imaging, next-generation sequencing, novel tool development, and/or bioinformatic/computational approaches are encouraged to apply.
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Next generation sequencing technology is a particularly complex endeavor that requires computational analysis to provide quality, timely analysis with the volume of data generated. By applying computational methods, the Computational Biologist I enables rapid, incremental analysis required to process the large amount of data generated in a high throughput laboratory.
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Looking for a contractor to assist with some computational analysis of large scale (>10K samples) human whole genome sequencing data in preparation for genetic association analysis, to be performed in an AWS platform.
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Experience with next-generation sequencing data analysis and computational genomics is highly desirable, but not required. Additionally, our lab is positioned down the hall from IU’s Center for Genomics and Bioinformatics, which provides library construction and next-generation sequencing, as well as consulting.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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B.S. or M.S. in computer science, bioinformatics, computational biology, genomics, or a related field with 7 years of industry experience or Ph. D. with 3 years of experience. Oversee the scalable development and optimization of next-generation sequencing (NGS) data analysis pipelines.
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