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. Demonstrated "can do" work ethic coupled with effective time management. Additional Information Standard Hours/Schedule: 35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm. Occasionally required to work
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career learning. Develop and implement strategies to ensure program alumni receive timely information on further educational and professional development opportunities. Participate in OCCE events and
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build and scale our GenAI application platform. This platform will be the hub within HBS where GenAI application developers can share their data and code. As custodians of this platform, we intend to use
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, account access, collaboration tools, classroom technology, networking, phones and voice mail, IT security, computer asset lifecycle, device lending, shared device and printer support, and classroom and
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assistants. Develop and maintain research administration and compliance documentation, including IRB protocols, data-use agreements, and data security procedures. Support data cleaning and conduct statistical
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preferred. Demonstrated experience with financial systems and data query tools. Working knowledge of financial administration principles. Demonstrated skills in prioritizing/performing multiple tasks while
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the ARIeS portal (https://academicpositions.harvard.edu/postings/15115 ). Candidates are encouraged to apply by October 31, 2025 . Applications will be reviewed until the position is filled. 1. Cover letter
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appropriately, efficiently, and according to emergency protocol. Appropriately sorts and distributes lab results to clinicians. Responds appropriately to employee requests for medical record information. Performs
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prototype solutions to demonstrate value. Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps. Contribute to and promote good software
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Candidates MUST meet the following basic qualifications in order to be considered for this role: A minimum of five years of progressive administrative and/or project coordination experience. Computer skills