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, cluster or cloud computing infrastructure (AWS, GCP) is desirable. • Experience working with mass spectrometry-based proteomics data and familiarity with major protein databases (e.g., UniProt, PDB, Ensembl
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence
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Management: Working with various server environments, including on-premise and cloud-based computing. Will work with Windows and Linux server environments. MINIMUM REQUIREMENTS OF POSITION: A. Minimum
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cloud environments, and associated communications documents. Lead and participate in the design, development, and implementation of custom software solutions and integrations using languages such as
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, which is dedicated to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence
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related field. Experience with cloud computing and integration with on-premises systems. Knowledge of scientific research workflows, particularly in computational science and digital health innovation