Senior Health Informatics Data Scientist
New
Remote (U.S.), PST (Pacific Time Zone)ContractSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine Learning
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.
- 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.
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 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.
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