As a Patient Analytics Consultant at DataZymes, your role involves analyzing integrated healthcare datasets (claims, EHR, lab, and pharmacy) to generate patient-level insights, develop predictive models, and deliver data-driven recommendations supporting clinical and commercial decision-making. Key Responsibilities:
- Apply a strong understanding of healthcare delivery models and patient care pathways
- Conduct patient-centric analyses like treatment patterns, line-of-therapy, and disease progression analyses
- Integrate and analyze claims, EHR, lab, and pharmacy datasets to develop longitudinal patient journeys across multiple care settings
- Define cohorts, enrollment logic, and episode-of-care frameworks
- Develop complex SQL/Python queries for large-scale healthcare datasets
- Use Python to perform predictive modeling for classification, regression, survival, clustering, etc. - Translate analytical findings into clear, strategic insights and develop executive-ready presentations and dashboards
- Communicate complex methodologies to both technical and non-technical stakeholders
- Quantify the business and clinical impact of recommendations
- Quickly ramp up in new therapeutic areas and problem domains
- Test innovative analytical methods and modeling approaches
- Adapt to evolving client priorities and ambiguous problem statements
Qualifications Required: