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an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied
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real-world healthcare and genomic datasets, knowledge of regulatory guidelines (e.g., FDA, EMA) and Good Clinical Practice, exposure to cloud platforms (AWS, Azure) and big data tools would be preferred
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs. II. JOB DETAILS Campus Location: Foggy Bottom, Washington, D.C. College/School/Department: GW IT Family Information
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assigned. Required Qualifications Bachelor's degree in computer science, computer engineering or related field. Three years of related experience. Demonstrated ability to work independently and with
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, and facilitate access to HPC and Cloud Computing services. The specialist also oversees the lifecycle of student and staff projects, from proposal to implementation. This involves providing expertise
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knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud. Acts as a technical consultant and resource for faculty research
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, review the week’s strengths and areas for improvement, plan and execute activities for the upcoming week, month and term Ensures OMN program content is current, relevant, and consistent with OMN’s mission
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for technical and non-technical audiences Build code: Integrate simulation models with existing codes Generate workflows or scripts to automate tasks on cloud computers Manage code with git/GitHub What You Will
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-on experience in production on-premises and cloud data environments Extensive practical experience in structured transformation and data modelling Advanced SQL skills, including development and optimisation