Travel Nurse RN - Neonatal Intensive Care Unit - $2,034 to $2,273 per week in San Luis Obispo, CA

Registered Nurse (RN) | Neonatal Intensive Care Unit
Location: San Luis Obispo, CA
Agency: Prime Time Healthcare
Pay: $2,034 to $2,273 per week
Shift Information: Nights
Contract Duration: 14 Weeks
Start Date: ASAP

About the Position

Job Description

Now Hiring: RN NICU - San Luis Obispo, CA

Job ID: JOB-388889

Weekly Pay Range: Contact us for Pay Information

Weekly Pay Range: $

2033.80-$

2273.07

wk

Weekly pay ranges of $2033.80 - 2273.070 includes weekly taxable income and non-taxable reimbursements.


*Actual amount dependent upon market adjustments

Shift: Nights

Duration: 14 wks

Are you a passionate RN professional looking for a new adventure? Prime Time Healthcare is seeking dynamic individuals like you to join our team in San Luis Obispo, CA and make a real impact in patient care!
In this role, you'll be at the forefront of healthcare, delivering top-notch care with precision and compassion. As an integral part of our team, you'll collaborate closely with fellow healthcare professionals, ensuring every patient receives the highest level of care possible.


If you're ready to elevate your career and make a difference in the lives of others, apply today!

At Prime Time Healthcare, we offer competitive compensation along with a LARGE range of benefits including:

• Competitive compensation and WEEKLY direct deposit
• Compliance Support Specialist & Onboarding Assistance
• Dedicated recruiter for personalized support
• Paid, safe, pet-friendly lodging (if applicable)
• Round-the-clock customer support 24/7
• Unlimited referral bonus up to $750
• Medical, Vision & Dental insurance
• 401(k) Matching Program
• Flexible Schedules
• Travel Discounts

Prime Time Healthcare, LLC is an Equal Opportunity Employer (EOE).


*Estimated pay and benefits packages are on a per facility basis and may change with market conditions. Exact pay and benefits package will be negotiated with Prime Time Healthcare and may vary with several factors including but not limited to, guaranteed hours, travel distance, demand, eligibility, etc.