Clinical Data Scientist – Population Health

Innovaccer is hiring a Clinical Data Scientist to build predictive models for hospital readmission, chronic disease risk stratification, and care gap identification for 100M+ US patients — enabling healthcare providers to proactively manage high-risk populations.

• Build hospital readmission prediction models for US health systems
• Develop chronic disease risk stratification for diabetes, CHF, and COPD
• Create care gap identification models for preventive care programmes
• Validate models against clinical outcome data
• Present clinical AI insights to US healthcare provider leadership
• Collaborate with clinical informatics teams on model deployment

• 3–5 years data science with clinical or healthcare domain experience
• Clinical risk stratification and predictive modelling
• Python: scikit-learn, XGBoost, and survival analysis
• Medical coding: ICD-10, CPT, SNOMED, and LOINC
• HIPAA-compliant data analysis methodology
• SQL for clinical claims and EHR data analysis