329 data-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Harvard University
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labs working on research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu . Business, the global economy, and societies around the
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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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Institutional Research & Analytics (OIRA), part of the Office of the Provost, supports Harvard’s leadership by providing institutional data analysis and reporting. OIRA serves as a trusted resource for
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: Participate in the design of software that supports and enriches research productivity and reliability; implement software solutions. Develop software and data services with researchers to ensure that modern
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multimodal datasets, with data ready to analyze you can focus on developing research findings resulting in publication.Responsibilities include:Research and translate exposome data science into real-world
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to analyze single cell cross-sectional data, such as single-cell omics, cellular electron microscopy, and optical microscopy data sets. Additional work may entail integrating large-scale cross-sectional data
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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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