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Director Health Informatics Data Analyst Jobs (NOW HIRING)

VHC Health

Health Informatics Specialist

Alexandria, VA · On-site

At least two (2) years of direct, hands-on experience with Epic or other clinical systems. * Proven ... Proven experience with data analytics tools and reporting platforms. * 1-2 years in informatics ...

VHC Health

Health Informatics Specialist

Alexandria, VA · On-site

At least two (2) years of direct, hands-on experience with Epic or other clinical systems. * Proven ... Proven experience with data analytics tools and reporting platforms. * 1-2 years in informatics ...

campus4tech

Lead Health Informatics Analyst

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 ...

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

As of Jun 4, 2026, the average yearly pay for director 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 are the key skills and qualifications needed to thrive as a Director Health Informatics Data Analyst, and why are they important?

To thrive as a Director Health Informatics Data Analyst, you need deep expertise in health informatics, data analytics, and healthcare regulations, often supported by an advanced degree in health informatics, information systems, or a related field. Mastery of data management tools (such as SQL, SAS, and Python), electronic health records (EHR) systems, and certifications like Certified Health Data Analyst (CHDA) are typically required. Exceptional leadership, strategic thinking, and communication skills help in managing teams and collaborating across departments. These combined skills ensure effective data-driven decision-making, regulatory compliance, and improved healthcare outcomes.

How does a Director Health Informatics Data Analyst typically collaborate with clinical and IT teams to drive healthcare data initiatives?

A Director Health Informatics Data Analyst often serves as a bridge between clinical staff and IT departments, facilitating clear communication about data needs and system capabilities. They work closely with clinicians to understand workflow challenges and identify opportunities where data analysis can improve patient outcomes. At the same time, they collaborate with IT specialists to implement and optimize data systems, ensuring that health informatics tools are user-friendly and compliant with healthcare regulations. This cross-functional teamwork is essential for translating raw data into actionable insights that support clinical decision-making and organizational goals.

What does a Director Health Informatics Data Analyst do?

A Director Health Informatics Data Analyst oversees the collection, management, and analysis of healthcare data to improve patient outcomes, operational efficiency, and regulatory compliance. They lead teams of data analysts, collaborate with clinical and IT staff, and ensure that data systems support organizational goals. Their responsibilities often include developing data-driven strategies, ensuring data quality, and presenting insights to executive leadership for decision-making. The role requires a blend of technical expertise, leadership skills, and a deep understanding of healthcare operations.

What is the difference between Director Health Informatics Data Analyst vs Health Informatics Data Analyst?

AspectDirector Health Informatics Data AnalystHealth Informatics Data Analyst
ResponsibilitiesOversees data strategies, manages teams, and aligns projects with organizational goalsAnalyzes healthcare data, develops reports, and supports decision-making
Required SkillsLeadership, project management, advanced data analysisData analysis, technical skills, healthcare knowledge
CertificationsCertified Health Data Analyst (CHDA), project management certificationsCHDA, health informatics certifications
Work EnvironmentHealthcare organizations, hospitals, health systemsHealthcare settings, clinics, health IT departments

The main difference is that the Director Health Informatics Data Analyst holds a leadership role, overseeing teams and strategic initiatives, while the Health Informatics Data Analyst focuses on data analysis and reporting. Both roles require healthcare data expertise and relevant certifications, but the director position involves higher-level management responsibilities.

More about Director Health Informatics Data Analyst jobs
What cities are hiring for Director Health Informatics Data Analyst jobs? Cities with the most Director 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:
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Director Health Informatics Data Analyst jobs near you
Infographic showing various Director Health Informatics Data Analyst job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 61% Full Time, 1% Part Time, 1% Temporary, 35% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% 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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