Jobs at Assured Nursing

310,801 open positions

Assured Nursing is a tech‑driven healthcare staffing firm that uses AI‑powered candidate matching to connect nurses with top hospitals across the U.S. The company has grown to support over 10,000 clinicians and maintains a 95% placement success rate thanks to its data‑backed match engine.

Roles range from Software Engineer, Front‑End Developer, and Data Scientist to Nursing Informatics Specialist, Product Manager, and Cloud Operations Engineer. Teams work in Scrum, use GitHub Actions for CI/CD, and hold weekly cross‑functional demo days that keep developers and clinicians aligned.

Job Transparency’s listings give you real‑time salary ranges, employee satisfaction scores, and hiring velocity metrics. By comparing Assured Nursing’s figures against national benchmarks, you can pinpoint competitive offers and negotiate from an informed position.

Frequently Asked Questions

What is it like to work at Assured Nursing?
Assured Nursing fosters a collaborative culture where clinicians and tech staff co‑design solutions. Employees receive a $5,000 annual tech stipend, quarterly hackathons, and access to a free on‑site wellness program. The company holds a 4.2/5 Glassdoor rating for work life balance and offers 100% remote roles for software positions.
What types of positions are available at Assured Nursing?
The firm hires across six verticals: Clinical Operations (Nurse Educator, Clinical Data Analyst), Software Engineering (Full‑Stack, Mobile, DevOps), Product (Product Owner, UX Researcher), Data Science (ML Engineer, BI Analyst), Cloud Infrastructure (Site Reliability Engineer, Cloud Architect), and Cybersecurity (Security Analyst, Threat Intelligence).
How can I stand out as an applicant?
Tailor your resume to highlight measurable outcomes: e.g., 'Improved patient triage accuracy by 12% using predictive models.' Showcase relevant certifications (AWS Certified, RN Informatics), contribute to open‑source projects, and include a portfolio link. During interviews, ask data‑driven questions about the match algorithm and propose ideas for improving clinician engagement.

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