792 data-"https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Geesthacht" positions at Harvard University
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trial and observational study review, design and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing
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, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description
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. Additional Qualifications We seek candidates who have strong expertise in design in the context of a computational engineering or applied science field such as computer science, applied mathematics, data
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science would be particularly welcome. Contact Information: Hiring Manager cbar.recruiting@sdac.harvard.edu Contact Email: cbar.recruiting@sdac.harvard.edu Equal Opportunity Employer: We are an equal
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for Salesforce and Learning Communities Troubleshoot and resolve issues related to user access, roles, permissions, participant, faculty, guest, and staff records, data discrepancies, configuration
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/benefits
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research compliance environment. This position will directly support this work. As a member of the Research Computing and Data Services (RCDS) team in Library and Research Services (LRS) at the Harvard
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scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy
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, relationship management, and data-informed operations. This role is ideal for someone who thrives at the intersection of systems, relationships, and strategy-someone who can build structure, design strong
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Medical School seeks a highly motivated postdoctoral research fellow in health services research. The ideal candidate will have experience working with insurance claims data and a research interest or