Travel Pharmacist in San Luis Obispo, CA

Concentric Healthcare Staffing

  • San Luis Obispo, CA
  • 6 days ago

    Highlights

    Preferred Experience / Skills Demonstrated competence working with pediatric and neonatal age groups in a high-risk clinical setting. Work history must clearly document the charting system(s) used; if multiple EMR systems were used at a single position, date ranges for each system must be provided.

    Numbers & Facts

    LocationSan Luis Obispo, CA

    Description

    Job Title

    Pharmacist (Epic)

    Location

    San Luis Obispo, CA

    Schedule / Job Type

    Contract | Rotating Shift, 4x10s

    Key Responsibilities
    • Perform pharmacist duties in support of an Epic EMR conversion environment
    • Operate within a rotating shift schedule on a 4x10 hour schedule
    • Administer and manage IV therapy; IV training completion is required
    • Apply age-specific awareness and competence when working with pediatric and neonatal patient populations
    • Accurately document all relevant clinical activity within the Epic system
    Required Qualifications
    • Active Pharmacist license in good standing
    • Current, hands-on Epic experience is required
    • Cerner experience within the last 5 years
    • Must have successfully completed at least one prior contract or served as an employee of an organization in a pharmacist role
    • Work history must clearly document the charting system(s) used; if multiple EMR systems were used at a single position, date ranges for each system must be provided
    • Must pass IV training prior to assignment start
    Preferred Experience / Skills
    • Demonstrated competence working with pediatric and neonatal age groups in a high-risk clinical setting
    • Experience supporting or working through an EMR system conversion or go-live
    Why Join Us
    • Opportunity to contribute to a meaningful Epic system conversion at an established healthcare facility
    • Gain specialized experience working with high-acuity and specialized patient populations

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