Note: The job is a remote job and is open to candidates in USA. Inizio Partners is seeking a Senior Health Informatics / Data Scientist to develop statistical and machine learning models for healthcare risk stratification, risk tier migration, and risk adjustment. The role analyzes healthcare claims, clinical, and demographic data to support care management, population health, and value-based care initiatives.

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

Skills

• 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
• 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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