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25-Jun-2024 Harvard Law School 66216BR Position Description The Harvard Library Innovation Lab (LIL) seeks a Software Engineering Manager to help us build tools and communities for open knowledge. Located at the Harvard Law Library, LIL is a fun and collaborative lab with a broad mission focused...
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21-Jun-2024 Harvard University Information Technology 66171BR Position Description This is a fully benefited, full-time Harvard University position that has been funded through 6/30/2025. There is the possibility of renewal, contingent on funding, university priorities and satisfactory job...
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21-Jun-2024 Campus Services 66175BR Job Summary Energy & Facilities (E&F) operates and manages Harvard’s energy supplies, district energy plants, and utility infrastructures on the Cambridge/Allston campuses, as well as a 24/7 facilities-related call, alarm monitoring, and dispatch center. E&F...
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quantitative methods (simulation modeling, optimization, and machine learning) preferred. Basic Qualifications Bachelor’s degree in statistics, computer science, data science, or closely related field with 2
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Qualifications Ph.D. in Statistics, Computer Science, Operations Research, or Electrical Engineering at time of appointment is required. The appointment will be for up to three years with annual renewal based
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activates include meeting with bench scientists about the need and plan of data analysis, working on raw data processing as well as downstream biological analysis, giving presentation to informatics team and
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informatics need and feedbacks using our online resources, writing codes to build new and maintain existing bioinformatics resources, communicating with research computing group regarding the server and storage
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Qualifications Bachelor’s degree in quantitative field required (Economics, Statistics, Computer Science, etc.) required, along with evidence of outstanding academic achievement. Statistical/programming expertise
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strongly encouraged to be active participants in these endeavors as part of their scientific career. Basic Qualifications ● Ph.D. degree in Bioinformatics, Biology, Computer Science, or other relevant
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A doctoral degree in epidemiology, statistics, computer science, or a related quantitative field Technical Requirements Expert knowledge of R or SAS Additional Qualifications Preferred Skills