Travel Nurse RN - Med/Surg / Telemetry in Olympia, WA

TravelNurseSource is working with Concentric Healthcare Staffing to find a qualified Med/Surg / Tele RN in Olympia, Washington, 98506!

Job Title

Registered Nurse – Medical Surgical / Telemetry Float

Location

Olympia, WA | Short Term Acute Care

Schedule / Job Type

Contract | Nights | 3x12-Hour Shifts (19:00–07:30)

Key Responsibilities

• Float across units to meet census and staffing needs, supporting a diverse patient population including telemetry, medical-surgical, and ER-boarded patients
• Deliver direct patient care with nurse-to-patient ratios ranging from 1:4 to 1:6 depending on unit acuity
• Fulfill charge nurse duties on designated smaller units, including managing staffing needs, bed flow, and general unit coordination
• Document patient care and clinical assessments using EPIC electronic health records
• Collaborate with LPNs, CNAs, and interdisciplinary team members to ensure continuity and quality of care
• May be expected to float to nearby sister facilities as needed to support staffing requirements

Required Qualifications

• Active RN license; compact license must be in hand at time of submission
• Minimum of 1 year of RN experience in a relevant clinical setting
• Charge nurse experience is required
• US-based clinical experience required; Canadian experience alone does not qualify
• Must commit to working 3 of the following 5 holidays: Thanksgiving, Christmas Eve, Christmas Day, New Year's Eve, New Year's Day
• Must live at least 50 miles from the facility to be eligible as a standard traveler (locals are accepted under a separate rate structure)

Preferred Experience / Skills

• Experience in a cardiac step-down or progressive care unit
• Prior float pool or multi-unit nursing experience
• Familiarity with EPIC charting system

Why Join Us

• Opportunity to work within a well-established acute care facility offering a dynamic, varied clinical environment across multiple units and patient populations
• Gain broad clinical exposure by supporting a team-based float model in a 325-bed short-term acute care hospital