Role overview
The Data Scientist – Healthcare Analytics & AI will play a key role in advancing Ponos Care’s mission to become a data-driven, AI-enabled healthcare organization. This role focuses on developing predictive models, advanced analytics, and data-driven insights that support clinical decision-making, improve patient outcomes, and drive value-based care performance.
The Data Scientist will collaborate closely with clinical leadership, engineering teams, and executive stakeholders to design and deploy analytics solutions that help identify, engage, and proactively treat members suffering from inflammatory and immune-related conditions.
This position will contribute to the development of advanced predictive models supporting proactive patient interventions, clinical risk identification, and healthcare utilization optimization across Ponos Care’s Medicaid population.
What you'll work on
- Develop predictive models and advanced analytics to identify high-risk members and support proactive care interventions.
- Contribute to the development of the RAP Early-Warning System to provide 24–72-hour predictions for acute pain crises.
- Build analytics models supporting biologics stewardship, including biosimilar adoption and site-of-service optimization.
- Develop models to identify chronic kidney disease (CKD) progression risks and enable early clinical intervention.
- Analyze healthcare datasets including claims, EHR, pharmacy, and device data to generate actionable insights.
- Collaborate with engineering teams to support development of a HIPAA-compliant data lakehouse architecture integrating multiple healthcare data sources.
- Implement feature engineering pipelines and support model deployment within modern MLOps frameworks.
- Support population health initiatives by analyzing utilization patterns, member demographics, and clinical outcomes.
- Ensure analytics solutions comply with healthcare regulatory standards including HIPAA, NCQA, and Medicaid reporting requirements.
- Utilize healthcare interoperability standards such as HL7, FHIR, and ADT feeds to integrate and analyze clinical data.
What we're looking for
- Healthcare interoperability standards including HL7, FHIR, and ADT.
- Risk adjustment methodologies including HCC v28 and HCCRx.
- Clinical decision support systems and EHR workflows.
- Experience supporting analytics in Medicaid populations, population health programs, or value-based care models.