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Remote Healthcare Machine Learning Jobs in Raleigh, NC

April Health

Behavioral Health Care Manager

Durham, NC · On-site +1

$53K - $58K/yr

Have you worked in Collaborative Care? Are you available to work evenings in your time zone? If so ... Remote work * Fantastic total rewards package, including health, vision, dental, etc. * Working ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... We promote a healthy work/life balance across the organization, with various flexible and remote ...

BHDP Architecture

Architect | Healthcare

Raleigh, NC · On-site +1

Market: Healthcare Location: Raleigh, NC FLSA: Exempt Work Mode: Monday - Friday; 8:00 - 5:00; In ... Hybrid (remote or in-office) Friday Employment Type: Full-time At BHDP, we believe great design ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Machine Learning and AI Solutions : Lead the development and implementation of machine learning ... Health Savings, Health Care, Dependent Care and Commuter Spending Accounts * Up to two days of paid ...

Eliassen Group

Senior AI/ML Engineer

Raleigh, NC · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and ... Health Savings, Health Care, Dependent Care and Commuter Spending Accounts * Up to two days of paid ...

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All JobsHealthcare Machine Learning JobsRemote Healthcare Machine Learning JobsRemote Healthcare Machine Learning Jobs in Raleigh, NC

Remote Healthcare Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

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

As of Jun 9, 2026, the average yearly pay for remote healthcare machine learning in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

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 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 typically 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, and why are they important?

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 are popular job titles related to Remote Healthcare Machine Learning jobs in Raleigh, NC? For Remote Healthcare Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Healthcare Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Remote Healthcare Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Healthcare Machine Learning jobs? Cities near Raleigh, NC 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 Raleigh, NC as of May 2026, with employment types broken down into 81% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Behavioral Health Care Manager

April Health

Durham, NC • On-site, Remote

$53K - $58K/yr

Full-time

Medical, Dental, Vision

Posted 18 days ago

Job description

Are you passionate about increasing access to behavioral health services? Have you worked in Collaborative Care? Are you available to work evenings in your time zone? If so, we want you to join the April Health team as a Behavioral Health Care Manager.
About April Health
April Health is working to deliver high-quality, virtual behavioral health services to patients in the United States. Through the Collaborative Care model, an evidence-based model for treating behavioral health issues in primary care, April Health enables access to behavioral health services through healthcare providers that patients already know and trust.
April Health partners with primary care, women's health, and pediatric practices to provide a hybrid behavioral health solution that combines human care management with AI-driven support to improve patient outcomes, reduce provider burden, and generate new revenue for our partners. Patients conduct regular appointments with our behavioral health care managers, receive guidance from psychiatrists, and our AI Therapeutic Coach helps patients between appointments, maximizing the value that patients receive in our program.
The Role
The Behavioral Health Care Manager is the primary point of contact for patients who are enrolled with April Health. This person is responsible for coordinating the patient's care with the patient's primary care provider and consulting psychiatrist, tracking the patient's symptoms with validated measurement tools, and directly meeting with the patient to deliver evidence-based treatments.
The Collaborative Care Model is a population-based approach to managing mental health in the primary care setting and is not a traditional psychotherapy model of care. Instead, we offer brief evidence-based interventions to patients, such as motivational interviewing, problem-solving treatment, and behavioral activation.
Responsibilities
  • Support and closely coordinate mental health care with the patient's primary care provider, establishing a mutually agreeable care plan
  • Screen and assess patients for common mental health disorders
  • Support psychotropic medication management prescribed by PCPs, focusing on treatment adherence, side effects and other complications, and treatment effectiveness
  • Track patient follow-up and clinical outcomes using a registry, record encounters in the registry, and use the system to identify and re-engage patients
  • Plan specific mutual self-management goals, objectives, and behavioral interventions with action-oriented patients
  • Facilitate care plan changes for patients who are not improving, including changes in medications or psychosocial treatments or appropriate referrals for additional services
  • Participate in regularly scheduled caseload consultations with psychiatric consultants

Background and Skills
  • Background in providing care to patients struggling with mental health disorders
  • Experience working in a team-based healthcare setting
  • At least three years of clinical work experience
  • Proficiency in evidence-based treatment approaches (Problem Solving Treatment, Motivational Interviewing, Cognitive Behavioral Therapy, Behavioral Activation)
  • Experience using measurement-based care tools (PHQ9, GAD7, C-SSRS, etc.)
  • Masters degree in a mental health-related field

Key Attributes
  • Demonstrated ability to collaborate and communicate effectively in a team setting
  • Ability to maintain effective and professional relationships with patients and other members of the care team
  • Ability to effectively engage patients in a therapeutic relationship
  • Experience with telemedicine and comfort working with patients by telephone and video calls
  • Interpersonally adaptable, comfortable with ambiguity, and excited to work in a startup environment

Our Top Perks
  • Competitive compensation
  • Remote work
  • Fantastic total rewards package, including health, vision, dental, etc.
  • Working equipment allowance

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