Machine Learning Healthcare Data Scientist
Hanover, Maryland, United States
USD 150K-204K (estimate) Senior-level Full Time
Tasks
- Analyze data using Python and R
- Apply clustering regression NLP and predictive modeling
- Collaborate with clinicians and public health teams to translate data into quality improvement
- Create machine learning models for behavioral health analytics
- Develop machine learning solutions for digital health
- Develop mental health risk classifiers and wellness monitoring tools
- Perform data audits validation and performance analysis
- Present findings and visualizations to stakeholders
- Validate data quality for regulatory compliance
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CMS | CPT | Claims data | Classification | Cloud Computing | Cloud platform | Clustering | Confusion matrix | Cross-validation | Data Preprocessing | Data Visualization | EHR | Encounter Data | Feature Engineering | Google Cloud | Google Cloud Platform | HCPCS | HEDIS | Health Analytics | Healthcare Data | Healthcare Interoperability | Healthcare Quality Metrics | Healthcare quality | ICD-10 | LOINC | Language Processing | Machine Learning | Member Risk Segmentation | Model Validation | NCQA | Natural Language | Natural Language Processing | Population Health | Population health analytics | Power BI | Precision-recall | Predictive Modeling | PyTorch | Python | Quality metrics | R | ROC-AUC | Regression | Risk Segmentation | Risk scoring | SNOMED | SQL | Scikit-learn | Stratification | Tableau | TensorFlow | XGBoost
Education
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