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Field
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techniques such as cryo-electron microscopy, tomography, kinetic assays, and computational analysis. Day-to-day work will include experimental design, data collection and interpretation, close collaboration
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development, functional genomics, generation and analysis of sequencing data, -omics techniques, bioinformatics, biochemistry, and analytical chemistry (HPLC, LC-MS). Responsibilities will include: Conducting
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in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world
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, or field settings. Experience with molecular biology techniques such as DNA extraction, PCR, or qPCR. Experience analyzing biological data using command line tools, R, SAS, or similar analytical software
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includes broader research support to the department—such as assisting faculty with research design and data analysis and actively participating in the department’s research community (e.g., seminars
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. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and
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regulating molecular responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through
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principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Hydrology, Water
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computational biology and ability to devise innovative analytical approaches to high-volume genomic, epigenomic, and gene expression data. Capable of working within a team of wet and dry lab researchers