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Healthcare Machine Learning Data Analyst Jobs (NOW HIRING)

Preprocess and analyze datasets to ensure data quality * Collaborate with senior engineers and data scientists on model deployment * Conduct experiments and run machine learning tests * Build ...

Proficiency in at least one programming language (Python, R) and machine learning tools ... healthcare delivery. Excellent written and oral communication skills for a variety of audiences ...

Machine Learning Data Engineer

Seattle, WA ยท Remote

$130K - $160K/yr

Strong analytical rigor, comfortable digging into large volumes of imagery/data to find patterns ... Comprehensive Benefits Package including Health, Dental, and Vision Insurance * 401(k) Retirement ...

Machine Learning Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

... data. Your job will be to help turn that trail into a machine. A design session isn't a simple ... Dental and vision coverage, plus mental health benefits * Meaningful equity ownership * Flexible ...

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Healthcare Machine Learning Data Analyst information

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$37

$62

How much do healthcare machine learning data analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for healthcare machine learning data analyst in the United States is $37.33, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $42.31 per hour, depending on experience, location, and employer.

What does a Healthcare Machine Learning Data Analyst do?

A Healthcare Machine Learning Data Analyst is responsible for analyzing large volumes of healthcare data and applying machine learning techniques to uncover patterns, predict outcomes, and support decision-making. They collaborate with doctors, researchers, and IT professionals to build and refine models that can improve patient care, optimize hospital operations, or support medical research. Their work often involves preparing datasets, selecting appropriate algorithms, interpreting results, and communicating findings to stakeholders.

What are the key skills and qualifications needed to thrive as a Healthcare Machine Learning Data Analyst?

To thrive as a Healthcare Machine Learning Data Analyst, you need a strong foundation in statistics, data analysis, and machine learning, typically supported by a degree in computer science, data science, or a related field. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with healthcare data systems and regulations (like HIPAA) are essential. Strong analytical thinking, attention to detail, and effective communication skills help you translate complex data findings into actionable healthcare insights. These skills are crucial for ensuring accurate data-driven decisions that improve patient outcomes and support organizational goals.

What are some common challenges faced by Healthcare Machine Learning Data Analysts when working with medical data?

Healthcare Machine Learning Data Analysts often encounter challenges such as dealing with incomplete or inconsistent medical records, ensuring patient data privacy, and understanding complex healthcare terminologies. The sensitive nature of health data requires strict adherence to regulations like HIPAA, which can limit data access and sharing. Additionally, analysts must collaborate closely with clinicians and IT professionals to correctly interpret data and ensure that analytical models are both accurate and clinically meaningful.

What are popular job titles related to Healthcare Machine Learning Data Analyst jobs?

For Healthcare Machine Learning Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Healthcare Machine Learning Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,642 per year, or $37.3 per hour.

Machine Learning Engineer

California, MO โ€ข On-site

Other

Re-posted 6 days ago


Job description

  • Assist in designing, developing, and implementing machine learning models and algorithms
  • Assist in developing and optimizing machine learning models
  • Preprocess and analyze datasets to ensure data quality
  • Collaborate with senior engineers and data scientists on model deployment
  • Conduct experiments and run machine learning tests
  • Build scalable ML pipelines
  • Deploy models into production environments
  • Stay updated with the latest advancements in machine learning
  • Enhance services through AI/ML solutions, drive business insights, and improve customer experiences
Requirements
  • 1+ years relevant experience and a Bachelorโ€™s degree OR any equivalent combination of education and experience
  • Must have graduated within the past 12 months, or will be graduating by Spring 2027
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science or related field from an accredited college or university
  • Familiarity with ML frameworks such as TensorFlow or scikit-learn
  • Strong analytical and problem-solving skills
  • Visa sponsorship through PayPal is not available now or in the future
Core Competencies

Proficient in designing, developing, and implementing machine learning models and algorithms, with a strong focus on data preprocessing, model optimization, and deployment in production environments. Demonstrates analytical and problem-solving skills to enhance services through AI/ML solutions and drive business insights.

Highest-signal resume keywords
  • Machine Learning Model Development
  • Data Preprocessing and Analysis
  • Model Deployment
  • TensorFlow
  • Scikit-Learn
Hard Skills
  • Machine Learning
  • Data Analysis
  • Model Optimization
  • Algorithm Development
  • ML Pipeline Building
Soft Skills
  • Analytical Skills
  • Problem-Solving Skills
Industry Keywords
  • AI Solutions
  • Business Insights
  • Customer Experience
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