747 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "UNIV" "UNIV" positions at Harvard University
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collaborations with other labs. Special Instructions Any questions can be directed to David Lucas at the email address below. Please do not contact the PI directly. Contact Information David Lucas, PhD Harvard
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projects through to completion. Additional Information Appointment End Date: December 2026. This is a part-time term appointment starting July 2026 through December 2026 . With potential for re-appointment
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and/or federal training grants a plus. Additional Information Standard Hours/Schedule: 35 hours per week Visa Sponsorship: Harvard University is unable to provide visa sponsorship for this position Pre
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. Contact Information David Lucas, PhD Harvard Medical School Department of Immunology 77 Avenue Louis Pasteur, Room 1050 Boston, MA 02115 Contact Email david_lucas@hms.harvard.edu Salary Range Information
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,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role: The lab of Don Ingber, M.D., Ph.D., Founding
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data analysis and reporting. OIRA serves as a trusted resource for implementing best practices in data synthesis and translation and supports a broad set of university functions. In this role
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collaboration with the Clinton Health Access Initiative and national HIV programmes in Malawi, Zambia, Zimbabwe, and Mozamabique. Geospatial modelling of national surveillance and programme data in South Africa
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. Develop software and data services with researchers to ensure that modern standards of reproducible code are kept. Job-Specific Responsibilities: We are looking for a highly skilled Bioinformatics Software
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Information Standard Hours/Schedule: 35 hours per week Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position Pre-Employment Screening: Identity, Criminal
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with team members to analyze and resolve data and pay discrepancies. Proactively monitors and resolves issues with employee pay errors including Time & Labor and Absence Management as well as data