867 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at Harvard University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
programs in biostatistics, computational biology and data science; currently, more than 180 students are enrolled in these programs. Our team invites applications for a Programmer position in the National
-
, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu . Job Description
-
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
-
at https://academicpositions.harvard.edu/postings/15821. Applications must be submitted no later than March 2, 2026. Please note that references will only be invited to upload letters of recommendation after
-
salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/benefits
-
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
-
. Additional Qualifications We seek candidates who have strong expertise in design in the context of a computational engineering or applied science field such as computer science, applied mathematics, data
-
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
-
scientists—on projects that bridge methods, policy, and practice. Position Description: This role will involve intensive analysis of claims data and related large administrative datasets to support policy