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Weekend Health Informatics Data Analyst Jobs (NOW HIRING)

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 ...

VHC Health

Health Informatics Specialist

Alexandria, VA · On-site

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 ...

VHC Health

Health Informatics Specialist

Alexandria, VA · On-site

$87.07K - $161.10K/yr

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 ...

PIH Health

Senior Health Informatics Analyst

Whittier, CA · 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 ...

PIH Health

Senior Health Informatics Analyst

Whittier, CA · On-site

$90.90K - $114.70K/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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How much do weekend health informatics data analyst jobs pay per year?

As of Jun 3, 2026, the average yearly pay for weekend 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 Weekend Health Informatics Data Analyst vs Weekend Healthcare Data Coordinator?

AspectWeekend Health Informatics Data AnalystWeekend Healthcare Data Coordinator
CredentialsBachelor's in Health Informatics, Data Science, or related field; certifications like CPHIMS or CHDABachelor's in Health Information Management or related field; certifications like RHIT or RHIA
Work EnvironmentHospitals, clinics, health tech companies, often analyzing electronic health recordsHealthcare facilities, focusing on data entry, management, and compliance
Employer & Industry UsageUsed in health informatics departments, health IT firms, research organizationsCommon in hospital administration, healthcare providers, health data management firms

The Weekend Health Informatics Data Analyst primarily focuses on analyzing health data, improving systems, and supporting clinical decision-making, often requiring specialized informatics certifications. In contrast, the Weekend Healthcare Data Coordinator handles data entry, management, and compliance tasks within healthcare settings. Both roles are essential in healthcare data management but differ in their focus and required skills.

What cities are hiring for Weekend Health Informatics Data Analyst jobs? Cities with the most Weekend 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 Weekend Health Informatics Data Analyst jobs? States with the most job openings for Weekend Health Informatics Data Analyst jobs include:
Weekend Health Informatics Data Analyst jobs near you

Senior Health Informatics / Data Scientist

Inizio Partners

San Francisco, CA • Remote

Other

Posted 24 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.

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