799 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" positions at Harvard University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
here: https://itacademy.harvard.edu/ . Job Description This position will be responsible for supporting a broad range of systems and applications providing support both on-campus and remotely with a
-
compensation and working conditions. Contact Information SB Hiring Committee 200 Longwood Avenue Boston MA 02115 Contact Email jennie_epp@hms.harvard.edu Salary Range $72,000-$76,000 Please see here: https
-
on-call. Physical Requirements: Sitting & using near vision for reading and computer use for extended periods of time. Lifting (approximately 20 to 30 pounds), bending, and other physical exertion
-
website at https://hr.harvard.edu/search-open-positions The review of applications will begin immediately and continue until the position is filled. Candidates must have employment authorization to work in
-
/SSO, student information systems, financial systems) using documented APIs and data feeds. Data & Business Logic: Access and manipulate data related to courses, schedules, and student records. Implement
-
an inclusive community of dedicated problem-solvers who hold themselves – and one another – to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
-
environment and is focused on the analysis of large-scale Medicare and Medicaid administrative claims and assessment data, often exceeding one million beneficiaries across multiple years. The successful
-
an inclusive community of dedicated problem-solvers who hold themselves - and one another - to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
-
functional neuroimaging, histology and digital microscopy, and behavior analysis. The lab’s websites are: http://hechtlab.org/ and http://caninebrains.org The Evolutionary Neuroscience Lab is supported by
-
team of physicians, health policy researchers, health economists, biostatisticians, and data science experts across the Harvard T.H. Chan School of Public Health and Harvard-affiliated teaching hospitals