Sort by
Refine Your Search
-
econometrics. Advanced coursework in economics or mathematics. Familiarity in analyzing large data sets, applying econometrics methods. Knowledge of machine learning techniques in data analysis. Familiarity with
-
operational functions. This includes leadership in the areas of IT Services, Human Resources, Department of Safety and Security, and Facilities Services. Job Information Job Summary: The Associate Vice
-
processes. Manage a variety of information systems and data files, including large and complex files: analyzing file structure, using and creating file layouts, transforming raw data into finished products
-
of extraction, transformation, loading and manipulation of large data sets and databases. Balance multiple projects. Excellent organizational skills and strong attention to detail. Application Documents Resume/CV
-
migration of legacy data, revising all previous website and call line content, and aligning University websites post-implementation. Manages Whistleblower reports, NAVEX EthicsPoint website, tracking, and
-
support in designing, operationalizing, managing data collection, and providing technical assistance for large-scale projects related to the BIP Lab’s research goals. This support can include creating
-
, programming, analysis and modeling. Cleans, transforms, merges, and matches between large and complex research and administrative datasets. Plans own resources to collect, organize, and analyze information from
-
. Ability to understand complex documents (e.g., clinical trials). Ability to handle competing demands with diplomacy and enthusiasm. Ability to absorb large amounts of information quickly. Adaptability
-
to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data
-
and will gain experience in all aspects of the research process. Responsibilities range across the research cycle and will include cleaning and analyzing large datasets, designing survey questionnaires