226 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" uni jobs at Brandeis University
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Temporary Online Course Developer – RITM 115 Programming for Systems Automation & Data Workflows Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University
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Regulatory, Privacy, and Ethics: Protecting Health Data Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University Compensation: $3,000.00 (Approx. 65 hours over 12
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academic needs of participants, compile information on program instructional services/activities participants and render related services as needed. Compensation is $30Â per hour, up to 15 hours a week
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Position: Online Course Developer: Foundations of Applied Data Science and Decision Analytics Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University
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Position: Online Course Developer – RHIN XXX Clinical Data Science and Machine Learning Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Mar-26 Location: Waltham, Massachusetts Additional Information: 2 openings available. Internal Number: R0012947
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Temporary Online Course Developer – RHIN XXX Regulatory, Privacy, and Ethics: Protecting Health Data
Position: Online Course Developer – RHIN XXX Regulatory, Privacy, and Ethics: Protecting Health Data Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis
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Temporary Online Course Developer – RITM 100 Foundations of Enterprise Information Systems & Modern Infrastructure Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies
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plan, a statement of the broader impacts of their engineering research, teaching, and advising, and contact information for three referees to AcademicJobsOnline at: https://academicjobsonline.org/ajo
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level of discretion and ability to manage confidential information. Excellent organizational skills; ability to prioritize competing demands. Strong attention to detail and commitment to data accuracy