Margaret Onokoya

Registered Nurse · Holy Redeemer Health System

Nurse Princeton, NJ

Overview

Level
Staff
Function
Healthcare
Gender
Female

Experience

Registered NurseCurrent
Holy Redeemer Health System
Princeton, NJ

Education

Walden University
Master of Science - MS
2020 – 2022
Grand Canyon University
Bachelor of Science - BS
2017 – 2019
Raritan Valley Community College
Associate of Science - AS
2007 – 2009

About Holy Redeemer Health System

Industry
Hospitals & Physicians Clinics
Employees
1000 to 4999
Revenue
$1B+

Professional Overview

Margaret Onokoya is a Registered Nurse, currently affiliated with Holy Redeemer Health System, based in Princeton, NJ. As a nurse, Onokoya contributes to patient care, clinical workflows, and healthcare operations in Princeton, NJ. Onokoya holds academic credentials, including Master of Science - MS and Bachelor of Science - BS, from Walden University and Grand Canyon University. Holy Redeemer Health System operates in the Hospitals & Physicians Clinics sector with a workforce of 1000 to 4999 employees. Healthcare organizations seeking to recruit nurse professionals can use HealthTal to access direct email addresses and personal phone numbers compiled from public LinkedIn profile data and public licensing data in the NPI registry. Direct outreach to nurse specialists consistently yields higher response rates than passive job board postings, particularly for roles requiring specific clinical credentials or state licensure. The Princeton, NJ healthcare market offers access to a concentrated pool of clinical professionals, making direct outreach particularly effective for organizations building local care teams or expanding service capacity in the region.

Position in HealthTal Database

  • 649,765 healthcare professionals in HealthTal hold the Nurse specialty. Margaret Onokoya is one of them.
  • 14,815 Nurses are based in NJ (out of 38,119 total healthcare contacts in that state).
  • 152 contacts at Holy Redeemer Health System are tracked in HealthTal.
  • Typical Nurse compensation in NJ: $121,000 – $182,000 (median $141,000). Source: BLS OEWS adjusted for state cost of labor.
  • Top employers of Nurses in NJ: Hackensack Meridian Health (409), Robert Wood Johnson University Hospital (362), Virtua Health (349).
  • 7% of Nurses in NJ hold a senior title (Director, Manager, Chief, VP, etc.).
  • 71% of Nurses in NJ have education credentials on file.

Data refreshed November 2026.

Recruiting Nurse

Registered nurses are among the most in-demand healthcare professionals in the US. Recruiting RNs directly via personal contact data significantly reduces time-to-fill compared to job boards. When recruiting nurses, highlighting shift flexibility, signing bonuses, and professional development opportunities increases response rates.

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Frequently Asked Questions

Where is Margaret Onokoya located?

Margaret Onokoya is based in Princeton, NJ. They are currently affiliated with Holy Redeemer Health System.

What is Margaret Onokoya's specialty?

Margaret Onokoya specializes in Nurse. Their current role is Registered Nurse.

Where does Margaret Onokoya currently work?

Margaret Onokoya currently works at Holy Redeemer Health System.

What is Margaret Onokoya's educational background?

Margaret Onokoya attended Walden University and Grand Canyon University.

How do I contact Margaret Onokoya for recruiting?

HealthTal provides direct email address and phone number for Margaret Onokoya. Subscribe to access full contact details including personal email, direct dial, and LinkedIn profile.

How do I recruit a Nurse?

Recruiting nurses typically involves reaching out via direct email or phone. HealthTal's database provides contact data for nurses across all 50 states, allowing you to contact candidates directly without going through job boards.

What is the average salary for a Nurse in NJ?

Nurses in NJ typically earn $121,000 to $182,000 annually, with a median of $141,000. Figures derive from BLS OEWS data, adjusted for state cost of labor. Senior-titled roles (Director, Manager, Chief) and high-acuity practice settings push the upper end.

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