249 data-"https:" "https:" "https:" "https:" "https:" uni jobs at Columbia University
Sort by
Refine Your Search
-
Listed
-
Field
-
degree or equivalent in education and experience required. Preferred Qualifications Two years of related experience. Word processing, basic Excel, data entry and other applications as required. Apply
-
Safety, Radiation Safety, Environmental Health & Safety, Data/Telephone and Space Planning to coordinate the many stakeholders in any given project. Responsibilities The selected candidate will manage
-
fundraisers across major, leadership and principal giving. The Director will operate proactively to build and advance a robust pipeline, translate data into actionable intelligence and ensure fundraisers and
-
for J-schoolers, and gets updated information about jobs and candidate qualifications. Builds and constantly refreshes databases on internship and fellowship programs, employer contacts, and application
-
collect health data in accordance with clinical protocols. Coordinate and deliver care both autonomously and in collaboration with physicians and other healthcare professionals. Obtain and review internal
-
with Principal Investigators (PIs) managing and overseeing the various aspects of clinical trials and research. Key responsibilities and tasks include study coordination, data collection, regulatory
-
with diabetes-specific evaluations, including insulin administration, glucose log and CGM review, and insulin pump data review. Assess and collect data related to patient health status an input
-
Responsibilities (In order of importance): Research-50% Employee is responsible for coordinating research studies, along with data management, subject accrual, and conduction of subject interviews. Responsible
-
. ? Conduct daily scheduled meetings/huddles with staff to ensure consistent transfer of information, smooth patient flow, and team driven coordination of care and services. ? Conducts regularly scheduled
-
, and clinical data. Empty heading Core responsibilities Design, train and deploy multi-modal foundation models for single-cell and spatial cancer data Build scalable training pipelines in PyTorch/JAX