374 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"NanoSci" positions at Duke University
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, centralized revenue cycle organization that supports the entire health system in streamlining the revenue cycle. This includes scheduling, registration, coding, billing, and other essential revenue functions
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, centralized revenue cycle organization that supports the entire health system in streamlining the revenue cycle. This includes scheduling, registration, coding, billing, and other essential revenue functions
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/nutritionist (LDN) by the North Carolina Board of Dietetics and Nutrition; provision for license-eligible dietitians as above. Job Code: 00005034 CLINICAL DIETITIAN Job Level: F1 Duke is an Equal Opportunity
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initiatives. Distinguishing Characteristics of this Level N/A Job Code: 00005656 BEHAVIORAL HEALTH THERAPIST Job Level: F2 Duke is an Equal Opportunity Employer committed to providing employment opportunity
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Health's fully integrated, centralized revenue cycle organization that supports the entire health system in streamlining the revenue cycle. This includes scheduling, registration, coding, billing, and other
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, centralized revenue cycle organization that supports the entire health system in streamlining the revenue cycle. This includes scheduling, registration, coding, billing, and other essential revenue functions
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, centralized revenue cycle organization that supports the entire health system in streamlining the revenue cycle. This includes scheduling, registration, coding, billing, and other essential revenue functions
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Code: 4086 FLSA: N Job Level: E2 Revised Date: 10/01/2024 Supervisory Responsibility: No Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity
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of this Level Job Title: LPN Job Code: 4086 FLSA: N Job Level: E2 Revised Date: 10/01/2024 Supervisory Responsibility: No Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing
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systems, social sciences, epidemiology or other health-related fields. Demonstrated proficiency through previous developed analytical codes with R Language for Statistical Computing and/or Python The ideal