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Health Informatics Data Analyst Jobs (NOW HIRING)

Lead requirements elicitation and analysis activities, capturing and documenting health information and clinical data needs in support of EHR and clinical informatics software development. * Develop ...

Position Title Health Informatics Specialist Purpose & Scope: The Health Informatics Specialist ... Proven experience with data analytics tools and reporting platforms. * 1-2 years in informatics ...

The Health Informatics Specialist serves as a vital connector between clinical practice and health ... Proven experience with data analytics tools and reporting platforms. * 1-2 years in informatics ...

Senior Health Informatics Analyst

Whittier, CA ยท On-site

$76.48K - $126.19K/yr

The Senior Health Informatics Analyst will create and develop essential department reports and ... makers; provide data analysis, interpretation, and consultation to maximize the use of ...

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Health Informatics Data Analyst information

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$42.5K

$85.6K

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

As of Jun 1, 2026, the average yearly pay for 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 a Health Informatics Data Analyst job?

A Health Informatics Data Analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, operational efficiency, and decision-making. They work with electronic health records (EHRs), databases, and analytics tools to identify trends and support evidence-based practices. Their role bridges healthcare, IT, and data science, ensuring that data-driven insights enhance care quality and efficiency.

What are the key skills and qualifications needed to thrive in the Health Informatics Data Analyst position, and why are they important?

Health Informatics Data Analysts need strong analytical skills, a foundational understanding of healthcare systems, and a background in statistics or information management, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, as well as experience with EHR systems and certifications like CAHIMS are highly valued. Attention to detail, problem-solving abilities, and strong communication skills are essential soft skills for excelling in this role. These skills enable analysts to extract meaningful insights from complex healthcare data, ensuring quality improvements and informed decision-making within healthcare organizations.

What are typical daily responsibilities for a Health Informatics Data Analyst?

As a Health Informatics Data Analyst, your typical day involves gathering, cleaning, and analyzing health data from multiple sources, such as electronic health records and clinical systems. You'll frequently collaborate with healthcare professionals and IT teams to understand data requirements, identify trends, and present findings through reports and data visualizations. Tasks may also include developing and maintaining dashboards, supporting quality improvement initiatives, and ensuring data complies with privacy regulations. This role requires balancing technical tasks with regular communication across interdisciplinary teams.
What cities are hiring for Health Informatics Data Analyst jobs? Cities with the most 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 Health Informatics Data Analyst jobs? States with the most job openings for Health Informatics Data Analyst jobs include:
Infographic showing various Health Informatics Data Analyst job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid 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 โ€ข Remote

Other

Posted 22 days ago


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.