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Remote Health Informatics Data Analyst Jobs (NOW HIRING)

Alignerr

Health Informatics Analyst We're looking for experienced Health Informatics Analysts to help ... and reliable in a remote, independent work environment Nice to Have * Experience with data ...

Alignerr

Health Informatics Analyst

Tampa, FL · Remote

Health Informatics Analyst We're looking for experienced Health Informatics Analysts to help ... your clinical data and EHR knowledge to cutting-edge AI development, all on a fully remote and ...

Alignerr

Remote Commitment: 10-40 hours/week What You'll Do * Review and evaluate AI-generated healthcare ... Analyze healthcare and electronic health record (EHR) data to identify trends, gaps, and areas for ...

campus4tech

Lead Health Informatics Analyst

Lead Health Informatics Analyst Job Location: 100% Remote Contract Duration: 6 to 9 Months plus ... data needs in support of EHR and clinical informatics software development. * Develop and maintain ...

Synensys

Lead Health IT Informatics Analyst

Lead Health Informatics Analyst - Remote Job Summary The Lead Health Informatics Analyst provides ... Data supporting therapeutic discovery, medical research, or life sciences operations * Extensive ...

MUSC

... health informatics, data analytics, health information systems, and related areas. This part-time, remote appointment supports the program's mission by delivering high-quality asynchronous ...

Addison Group

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Senior Data Analyst Location: Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 ... healthcare business intelligence and informatics initiatives. Responsible for the design and ...

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How much do remote health informatics data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for remote health informatics data analyst in the United States is $85,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Health Informatics Data Analyst vs Remote Healthcare Data Specialist?

AspectRemote Health Informatics Data AnalystRemote Healthcare Data Specialist
Required CredentialsBachelor's in Health Informatics, Data Science, or related field; certifications like CPHIMS or CHDABachelor's in Health Information Management, Data Analytics; similar certifications
Work EnvironmentRemote, healthcare organizations, clinics, hospitalsRemote, healthcare providers, insurance companies, health tech firms
Industry UsageUsed for analyzing health data, improving patient outcomes, supporting clinical decisionsUsed for managing health data, ensuring data accuracy, compliance, and reporting

The Remote Health Informatics Data Analyst focuses on analyzing health data to improve clinical outcomes, while the Remote Healthcare Data Specialist manages and ensures the accuracy of health data. Both roles require similar credentials and often operate remotely within healthcare settings, but their core responsibilities differ in analysis versus data management.

More about Remote Health Informatics Data Analyst jobs
What cities are hiring for Remote Health Informatics Data Analyst jobs? Cities with the most Remote Health Informatics Data Analyst job openings:
What are the most commonly searched types of Health Informatics Data Analyst jobs? The most popular types of Health Informatics Data Analyst jobs are:
What states have the most Remote Health Informatics Data Analyst jobs? States with the most job openings for Remote Health Informatics Data Analyst jobs include:
What job categories do people searching Remote Health Informatics Data Analyst jobs look for? The top searched job categories for Remote Health Informatics Data Analyst jobs are:
Remote Health Informatics Data Analyst jobs near you
Infographic showing various Remote Health Informatics Data Analyst job openings in the United States as of May 2026, with employment types broken down into 41% Full Time, 57% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $85,609 per year, or $41.2 per hour.

Senior Health Informatics / Data Scientist

Inizio Partners

San Francisco, CA • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

About the job Senior Health Informatics / Data Scientist
Role: Senior Health Informatics / Data Scientist
Location: Remote (U.S.)
Duration: 6+ Month Contract
Working Time Zone: PST (Pacific Time Zone)
Position Overview
We are seeking a Senior Health Informatics / Data Scientist with deep technical expertise in statistical modeling, machine learning, and healthcare data analytics. This is a hands-on role focused on developing data science models using Python to support risk stratification and risk tier migration initiatives within the U.S. healthcare ecosystem.
The ideal candidate will have experience working with healthcare claims and population health datasets, building predictive models that support patient risk identification and care management strategies. The role requires strong familiarity with Medicare, Medicaid, and other U.S. healthcare reimbursement structures and coding frameworks.
This individual will collaborate with analytics, clinical, and population health teams to develop models that help identify high-risk populations and support value-based care initiatives.
Key Responsibilities

  • Develop and implement statistical and machine learning models for healthcare risk stratification and population health analytics.
  • Build predictive models to support risk tier migration and risk adjustment strategies.
  • Use Python and modern data science libraries (pandas, NumPy, scikit-learn, etc.) to design, test, and deploy analytical models.
  • Analyze large-scale healthcare datasets including claims, clinical, and demographic data.
  • Work with healthcare stakeholders to translate analytical findings into actionable insights for care management and population health initiatives.
  • Identify high-risk patient cohorts and support targeted intervention strategies.
  • Ensure models and analytics align with Medicare, Medicaid, and other reimbursement frameworks.
  • Document methodologies and present insights to both technical and non-technical stakeholders.
Required Qualifications
  • Advanced degree in Data Science, Statistics, Biostatistics, Computer Science, Health Informatics, or related quantitative field.
  • Strong experience in statistical modeling, machine learning, and predictive analytics.
  • Hands-on Python programming experience for data science and model development.
  • Experience working with healthcare claims data, population health data, or clinical datasets.
  • Demonstrated experience with risk stratification, risk adjustment, or population health modeling.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience with risk tier migration analytics within healthcare organizations or health plans.
  • Familiarity with Medicare and Medicaid reimbursement structures.
  • Knowledge of healthcare coding standards such as ICD, CPT, and HCPCS codes.
  • Experience working with health plans, healthcare analytics firms, provider organizations, or consulting firms.

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