Registered Nurse (Multi-State Licensed) – Contract, 100% Remote

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Health Technology, Artificial IntelligenceIndustries

Requirements

Candidates must possess an active, unrestricted Registered Nurse license in good standing, with a compact license or individual state licenses covering all U.S. states. A minimum of 4 years of clinical supervisory experience as a Registered Nurse is required, along with proficiency in telemedicine, a clean background and medical malpractice history, and prior experience with EPIC EMR. The role also requires the ability to work approximately 10 hours per week with reliable internet and a private workspace.

Responsibilities

The Registered Nurse will provide professional supervision, oversight, evaluation, and guidance to Licensed Practical Nurses (LPNs) in compliance with state nursing board regulations. Responsibilities include ensuring LPNs practice within their legal scope, co-signing documentation, participating in and documenting supervisory meetings, observing and assessing LPN performance, and ensuring patient care adheres to established protocols. The role also involves identifying training needs, maintaining supervisory records, communicating effectively with team members, and promptly addressing and documenting incidents or deviations from protocol.

Skills

Registered Nurse

Licensed Practical Nurse supervision

State nursing board regulations

Clinical AI

Primary care

Patient outcomes

EMR

Point of care technology

Data science

Product management

Consumer marketing

Engineering

K Health

AI-driven personalized healthcare subscription service

About K Health

K Health provides personalized medical care using artificial intelligence to assist individuals with various healthcare needs, including primary care, chronic condition management, urgent care, and mental health services. The platform connects users with licensed healthcare providers and utilizes AI tools to deliver data-driven healthcare solutions. K Health operates on a subscription-based model, charging membership fees for access to its services, which are available to adults across the 48 continental U.S. states. Unlike traditional insurance, K Health does not cover ancillary services such as labs, equipment, or medication costs. The company aims to improve healthcare accessibility and affordability, supported by mission-driven investors.

New York City, New YorkHeadquarters

2016Year Founded

$382.1MTotal Funding

LATE_VCCompany Stage

AI & Machine Learning, HealthcareIndustries

201-500Employees

Risks

Increased competition from Hackensack Meridian Health's AI-driven platform may impact market share.

Cedars-Sinai's expanded virtual services could draw users away from K Health.

Recent $59M down round funding suggests potential financial instability for K Health.

Differentiation

K Health uses AI to deliver personalized primary care through a digital platform.

The platform offers a free symptom tracker comparing users to similar profiles.

K Health partners with major health systems like Cedars-Sinai for scalable solutions.

Upsides

K Health raised $50M to expand its AI platform and reach.

The shortage of primary care physicians increases reliance on AI solutions like K Health.

Hybrid healthcare models create opportunities for K Health's integration into traditional systems.

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