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Remote Healthcare Machine Learning Jobs in Pittsburgh, PA

Machine Learning Tutor

Pittsburgh, PA ยท Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ...

Machine Learning Systems Engineer

Pittsburgh, PA ยท On-site +1

$144K - $192K/yr

... be fully remote. The salary range for this role is an estimate based on a wide range of ... health saving accounts, life insurance, pet insurance, and more. Salary Range $144,000--$192,000 ...

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

AI Architect

Pittsburgh, PA ยท On-site +1

Solventum is a new healthcare company with a long legacy of solving big challenges that improve ... The Impact You'll Make in this Role As a AI Architect with deep expertise in Machine learning ...

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Remote Healthcare Machine Learning information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

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

As of Aug 17, 2026, the average yearly pay for remote healthcare machine learning in Pittsburgh, PA is $41,341.00, 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 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 Pittsburgh, PA?

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

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

The top searched job categories for Remote Healthcare Machine Learning jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Healthcare Machine Learning jobs?

Cities near Pittsburgh, PA with the most Remote Healthcare Machine Learning job openings:

Infographic showing various Remote Healthcare Machine Learning job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $41,341 per year, or $19.9 per hour.

Remote Healthcare Architect

MRINetwork Jobs

Pittsburgh, PA โ€ข Remote

Full-time

Re-posted 23 days ago


Job description

We are representing a multi-disciplinary, Civil/Architectural/Environmental/Surveying/Field Services Construction Engineering firm that is looking for a Remote Healthcare Architect for the Greater Pittsburgh region.

REQUIREMENTS:

  • BS degree in Civil Engineering or Architect Engineering.
  • Min 5 years experience.
  • NCARB Registered Architect.
  • Experience with Revit software.
  • Knowledge of FGI Guidelines for Healthcare facilities.