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Remote Healthcare Machine Learning Jobs in Phoenix, AZ

YO AI Labs

Healthcare Attorney - Remote

Phoenix, AZ · Remote

$140 - $400/hr

Job Title: Healthcare Attorney Job Type: Contractor Location: Remote (United States Only) Job Overview We are seeking experienced Healthcare Attorneys to contribute their legal expertise to an ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... complex healthcare environments. The position focuses on building modern data platforms ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

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All JobsHealthcare Machine Learning JobsRemote Healthcare Machine Learning JobsRemote Healthcare Machine Learning Jobs in Phoenix, AZ

Remote Healthcare Machine Learning information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

How much do remote healthcare machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote healthcare machine learning in Phoenix, AZ is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is a remote healthcare machine learning professional?

A Remote Healthcare Machine Learning professional is someone who applies machine learning techniques and data analysis to healthcare-related problems while working remotely. They develop algorithms and models to analyze medical data, predict patient outcomes, and improve healthcare delivery. These professionals may work on projects like disease prediction, medical imaging analysis, or personalized treatment recommendations, often as part of a distributed team. Their work helps healthcare organizations leverage data to make informed decisions and improve patient care, all while working from a location outside of a traditional office or hospital setting.

How does a remote healthcare machine learning professional collaborate with clinical teams to implement AI solutions?

Remote Healthcare Machine Learning professionals often work closely with clinicians, data engineers, and IT staff to ensure that AI models address real clinical needs and comply with healthcare regulations. Collaboration usually involves regular virtual meetings, shared project management tools, and iterative feedback cycles where clinicians provide insights on data relevance and model outputs. Effective communication is crucial to bridge the gap between technical and medical expertise, ensuring solutions are both accurate and practical for everyday clinical use.

What are the key skills and qualifications needed to thrive as a remote healthcare machine learning specialist?

To thrive as a Remote Healthcare Machine Learning Specialist, you need a strong background in data science, statistics, machine learning algorithms, and healthcare domain knowledge, typically supported by a relevant degree in computer science, engineering, or biomedical informatics. Proficiency with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and experience with electronic health record (EHR) systems or health data standards is essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders make someone stand out in this role. These skills are crucial for developing effective, compliant, and impactful healthcare solutions that improve patient outcomes and enable remote care delivery.

What is the difference between Remote Healthcare Machine Learning vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Machine LearningRemote Healthcare Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML algorithmsDegree in Statistics, Data Analysis, or related field; proficiency in data visualization
Work EnvironmentCollaborates with data scientists and engineers; focuses on developing modelsAnalyzes healthcare data; reports insights to stakeholders
Industry UsageDevelops predictive models for patient outcomes, diagnosticsInterprets healthcare data to inform decisions and improve processes

Remote Healthcare Machine Learning specialists focus on creating algorithms and models to predict health trends, while Remote Healthcare Data Analysts interpret healthcare data to support decision-making. Both roles require strong analytical skills but differ in technical focus and responsibilities.

What are popular job titles related to Remote Healthcare Machine Learning jobs in Phoenix, AZ?

For Remote Healthcare Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Machine Learning jobs in Phoenix, AZ look for?

The top searched job categories for Remote Healthcare Machine Learning jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote Healthcare Machine Learning jobs?

Cities near Phoenix, AZ with the most Remote Healthcare Machine Learning job openings:

Remote Healthcare Machine Learning jobs near you
Infographic showing various Remote Healthcare Machine Learning job openings in Phoenix, AZ as of June 2026, with employment types broken down into 3% As Needed, 77% Full Time, 18% Part Time, and 2% Contract. Highlights an 52% Physical, 3% Hybrid, and 45% Remote job distribution, with an average salary of $42,282 per year, or $20.3 per hour.

Healthcare Attorney - Remote

Phoenix, AZ • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$140 - $400/hr

Full-time

Re-posted 15 hours ago

Job description

Job Title: Healthcare Attorney

Job Type: Contractor
Location: Remote (United States Only)

Job Overview

We are seeking experienced Healthcare Attorneys to contribute their legal expertise to an innovative project at the intersection of healthcare law and emerging technology. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated legal content related to healthcare regulations and compliance. No prior AI experience is required—your healthcare legal expertise, regulatory knowledge, and analytical skills are what matter most.

Key Responsibilities

  • Analyze, review, and annotate healthcare legal documents and regulatory materials to support AI training objectives.

  • Draft and evaluate legal content related to healthcare compliance, fraud and abuse, patient privacy, telemedicine, and regulatory matters.

  • Review AI-generated legal outputs for accuracy, clarity, and compliance with U.S. healthcare laws and ethical standards.

  • Provide detailed written feedback to improve AI legal reasoning and content quality.

  • Identify emerging trends and regulatory developments in healthcare law.

  • Collaborate with cross-functional teams to clarify legal concepts and ensure project alignment.

  • Develop practical healthcare legal scenarios and use cases based on real-world challenges.

Required Skills

  • Healthcare Law

  • Regulatory Compliance (HIPAA, Stark Law, Anti-Kickback Statute)

  • Legal Document Review & Annotation

  • Policy Analysis

  • Contract Drafting

  • U.S. Healthcare Regulatory Knowledge

  • Written & Verbal Communication

  • Attention to Detail

  • Collaboration

Preferred Qualifications

  • Juris Doctor (JD) degree and active license to practice law in the United States.

  • Significant experience advising on healthcare law, compliance, and regulatory matters.

  • Strong knowledge of HIPAA, Stark Law, Anti-Kickback Statute, and healthcare regulations.

  • Experience with policy analysis, contract drafting, and regulatory review in healthcare settings.

  • Familiarity with healthcare operations, risk management, or clinical environments.

  • Excellent written and verbal communication skills with the ability to explain complex legal concepts clearly.

  • Strong attention to detail and commitment to producing accurate legal analysis.

  • Interest in legal technology, healthcare innovation, or AI-driven projects is a plus.