515 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" "UNIV" uni jobs at Harvard University
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review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing under the mentorship and supervision of senior staff
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and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing under the mentorship and supervision of senior
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responsible, but not limited to, the following: Manage daily operations within Food Pro and B-Trees, including system backup, startup, and data entry Enter and reconcile sales transactions for catering orders
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Technical Leadership Collaborate with data scientists, ML engineers, and software developers to translate business requirements into technical specifications Understand AI/ML fundamentals including model
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the position is filled. Contact Information HSDM Office for Faculty Affairs Harvard School of Dental Medicine 188 Longwood Ave Boston, MA 02115 hsdmfaculty_affairs@hms.harvard.edu Contact Email
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Additional Information Standard Hours/Schedule: 40 hrs. per week | Monday - Friday | 8:00 am - 5:00 pm. Ability to work occasional overtime required. Visa Sponsorship Information: Harvard University is unable
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. Special Instructions To apply, please submit: 1. A current CV, including information about prior teaching experience. 2. A cover letter that briefly describes your teaching background, areas of expertise
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familiarity with generally accepted accounting principles is preferred. Must have excellent computer skills including in-depth understanding of, and experience with, databases, spreadsheets, word processing and
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, methods, and compliance with established protocols. Ensure adherence to all quality assurance, regulatory, and compliance requirements (e.g., IRB, data security, funding restrictions). Guide data collection
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duties are carried out under the direction of a CBAR senior statistician: Conduct ongoing, periodic and final analyses of data, using specialized statistical techniques and statistical programming