Description :

The Patient Analytics Consultant analyzes integrated healthcare datasets (claims, EHR, lab, and pharmacy) to generate patient-level insights, develop predictive models, and deliver data-driven recommendations that support clinical and commercial decision-making.

DataZymes is seeking a highly analytical and client-focused Patient Analytics Consultant with 4-7 years of experience in healthcare data analytics. The ideal candidate will combine deep clinical understanding, strong patient-level data expertise, and advanced analytical skills to generate insights that drive strategic and operational decisions.

This role requires hands-on experience with integrated healthcare datasets (claims, EHR, lab, pharmacy) and the ability to translate complex analyses into clear, actionable business recommendations

Role & Responsibilities :

Clinical & Therapeutic Analytics :

- Apply strong understanding of healthcare delivery models and patient care pathways

- Conduct patient centric analysis like treatment pattern, line-of-therapy, and disease progression analyses etc.

Patient-Level Data Integration & Journey Mapping :

- Integrate and analyze claims, EHR, lab, and pharmacy datasets etc to develop longitudinal patient journeys across multiple care settings

- Define cohorts, enrollment logic, and episode-of-care frameworks

- Ensure data quality, consistency, and reproducibility

Advanced Analytics & Predictive Modeling :

- Develop complex SQL /Python queries for large-scale healthcare datasets

- Use Python to perform predictive modelling to build and validate models (classification, regression, survival, clustering etc)

Data Interpretation & Storytelling :

- 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 business and clinical impact of recommendations

Innovation & Learning Agility :

- 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