Senior Health Informatics / Data Scientist

Inizio Partners Corp • San Francisco, CA

19h • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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 .

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.

What This Job Offers

• Career Level: Senior