1,953 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" positions at Duke University
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-AIR_CRIDD [#31545] Position Title: Position Type: Other Position Location: Durham, North
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, Genetics, or related fields, 5 or more years of Postdoc experience, and evidence of strong research productivity. The Research Scientist will be responsible for: 1) conducting laboratory research, 2) data
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specificity of diagnoses, procedures and appropriate/optimal reimbursement for hospital and/or professional charges. Abstract information from medical records following established methods and procedures. Work
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the practice. Identify correct patient information in Maestro Care. Verify patient demographic data. Edit Maestro Care as needed. Accurately identify the appropriate account for patient visit. Present and
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. Check-in patient upon arrival in the practice. Identify correct patient information in Maestro Care. Verify patient demographic data. Edit Maestro Care as needed. Accurately identify the appropriate
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Responsibilities of this Level Process New Referrals for Evaluation / Insurance Verification/Clinical Coordination: Analyze, organize, and utilize complex data and rules related to contracting and patient benefits
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, and provide guidance and education to leaders and team members where appropriate. Access, understand and interpret HR data, along with the generation and distribution of related reports and information
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patient upon arrival in the practice. Identify correct patient information in Maestro Care. Verify patient demographic data. Edit Maestro Care as needed. Accurately identify the appropriate account for
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information, and directions. Coordinate services across multiple DUHSand PDC clinical locations, departments and providers. Service oriented tasks are transactional and productivity-based. Professionally and
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student will receive comprehensive training in bioinformatics workflows, specifically focusing on how to process and interpret high-dimensional spatial transcriptomics data. The candidate will work closely