826 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of Colorado in United States
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). This position’s appointment has a limited duration of one (1) year from date of hire. Key Responsibilities: Data collection and management of a departmental prospective database. Perform relevant literature reviews
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the main point of contact with the LIS vendor for system support and maintenance. Other laboratory computer applications may be included in the scope of work as the position evolves. Key Responsibilities
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Scientist, Organoid Initiative Position # 00844419 – Requisition #: 38704 Job Summary: We are recruiting a Leading Scientist focused on automation, workflow engineering, and data integration. This individual
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attend their meetings as assigned. Participate in training of other AHP outreach coordinators as new hires are onboarded. Enroll study subjects and collect data (from patients and/or health care providers
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, databases, and related materials and information. Provide support in researching issues and developing recommendations to resolve process, unit, and related issues. Assist in the review and implementation
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to external audits and FDA Inspections, and Data Safety Monitoring audits Collaborates with Data Safety Monitoring Committee, Protocol Review Monitoring Committee, and Oncology Clinical Research Support Team
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to perform duties in an experimental lab. Examples of duties: Preparation of lab reagents Use of a database to record supplies and inventory Assistance with laboratory upkeep & maintenance Data collection and
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. Collaborate with Clinical and Community Affairs to ensure accurate tracking and management of clinical faculty positions and related financial data. Prepare journal entries and cost transfers to maintain
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necessary. The Front Desk – Scheduler will NOT disseminate any clinical information such as diagnosis, test results or post care instructions. Key Responsibilities: Schedule outpatient visits, including
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symptoms appear. We’re seeking a Data Scientist who can analyze real‑world datasets and build well‑documented, reproducible machine‑learning pipelines in Python. You will drive exploratory data analysis