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Remote Healthcare Machine Learning Jobs in Seattle, WA

Machine Learning Engineer III

Bellevue, WA · On-site +1

$148K - $225K/yr

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to ... We offer parental leave, family services benefits, backup dependent care, flexible spending ...

Experience building and scaling machine learning models in business applications using large ... Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To ...

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 ...

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 ...

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive ... Maintain production health through rigorous on-call practices, runbook development, and proactive ...

Build and improve the continuous learning pipeline so new models ship weekly with minimal manual ... Comprehensive Benefits Package including Health, Dental, and Vision Insurance * 401(k) Retirement ...

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Responsibilities As a senior Machine Learning Systems Engineer on the Search Platform team, you ... Maintain production health through rigorous on-call practices, runbook development, and proactive ...

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive ... Maintain production health through rigorous on-call practices, runbook development, and proactive ...

Showing results 21-40

Remote Healthcare Machine Learning information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Sep 6, 2026, the average yearly pay for remote healthcare machine learning in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 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 job categories do people searching Remote Healthcare Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Remote Healthcare Machine Learning jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Healthcare Machine Learning jobs?

Cities near Seattle, WA with the most Remote Healthcare Machine Learning job openings:

Infographic showing various Remote Healthcare Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

ML Postdoc Researcher - Healthcare AI Innovation

Truveta

Seattle, WA • Remote

$50 - $60/hr

Full-time

Re-posted 16 days ago


Job description

ML Postdoc Researcher - Healthcare AI Innovation

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture.  Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote

About Truveta 

Truveta is transforming healthcare by enabling researchers, clinicians, and life sciences organizations to learn from one of the most comprehensive collections of de-identified patient data in the United States. With access to longitudinal electronic health record (EHR) data from over 120 million patients (which represents over a third of the US population), we are uniquely positioned to drive breakthroughs in clinical research and improve patient outcomes. 

This Opportunity

We are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of cutting-edge AI/ML technologies on large-scale real-world clinical data. 

This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work at the intersection of machine learning, clinical data, and biomedical science, identifying new opportunities where modern AI can unlock insights that were previously out of reach. 

A key expectation is not just execution-but imagination: the ability to envision and prototype entirely new ways to use rich patient data to solve meaningful healthcare problems. 

Who You Are

  • Curious and imaginative: You naturally think beyond existing solutions and ask "what hasn't been done yet?"
  • Impact-driven: You care about applying research to real-world healthcare problems
  • Comfortable with ambiguity: You thrive in open-ended environments where defining the problem is part of the job
  • Collaborative: You enjoy working across domains and learning from experts in different fields 

What You'll Do

  • Innovate: Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data
  • Research & Prototype: Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI)
  • Work Across Modalities: Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes
  • Collaborate Cross-Functionally: Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions
  • Publish & Share: Contribute to top-tier conferences/journals and represent Truveta in the research community
  • Explore the Unknown: Proactively identify problems that have not yet been addressed and define new research directions 

What We're Looking For

Basic Qualifications

    • Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
    • Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
    • Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
    • Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
    • Deliver the next generation of innovation in trustworthy healthcare.

Preferred Qualifications

    • Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging)
    • Familiarity with cutting-edge areas such as: 
    • Foundation models / LLMs in healthcare
    • Multimodal learning
    • Causal inference
    • Representation learning on longitudinal data
    • Track record of publications in top-tier ML or healthcare venues (e.g., NeurIPS, ICML, ICLR, MLHC, AMIA)
    • Ability to work across disciplines and communicate with both technical and clinical stakeholders 

Why Truveta? 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. 

We offer: 

  • Competitive compensation
  • Company-issued laptop and equipment
  • Opportunities for future full-time positions
  • The range for this position is $50-$60 per hour

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.