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Field
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bioinformatic analyses of human genetic and phenotypic data, including electronic health record (EHR) data, whole genome sequence (WGS) data, whole exome sequence (WES) data, genome-wide association study (GWAS
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bioinformatics, Michigan Institute for Data Sciences, LSA, and College of engineering. Core Facilities: High-throughput screening, medicinal chemistry, structural biology, cryo-electron microscopy
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Classification Title: Data Scientist I Classification Minimum Requirements: A Bachelor’s Degree in data science, statistics, bioinformatics, analytics, or similar field and two years of experience
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coding in Python (or similar systems) • Excellent communication skills Preferred Qualifications • Coursework or training in computer science or bioinformatics • Familiarity with bioinformatics packages and
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Assistant Professor Position in Computer Science – Computational Biology/Bioinformatics University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Computer Science Location
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bioinformatics to develop and maintain trial management systems. Ensures compliance with all federal and local agencies including the Food and Drug Administration (FDA) and local Institutional Review Board
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mouse work, surgeries, cloning, microscopy/biological imaging, FACS, bioinformatics, and/or protein biochemistry. A strong publication record in relevant fields demonstrating these skills is highly
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, PostgreSQL, Linux systems, and containerization technologies. As the Systems Engineer, SEA, you will manage and develop large-scale genomic and proteomics databases, maintain and develop bioinformatics
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genetics, or bioinformatics. Our research focuses on modeling human brain development and function in cell culture to systematically investigate the genetic, cellular, and molecular basis of complex
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metagenomics, with a solid understanding of statistical methods for interpreting population genetic and sequence data. Design, implement, and maintain bioinformatics pipelines using Python and/or R