We are looking for passionate and driven specialists to join DataZymes, a next-generation analytics and data science company founded in 2016. At DataZymes, we focus on driving technology-led innovation and helping clients maximize the value of their data and analytics investments through cutting-edge platforms and consulting expertise. If you are excited about working on impactful solutions in the healthcare analytics space and want to be part of a high-performance, fast-growing team, we’d love to hear from you.

Job Summary

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, robust
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
transparent, actionable business recommendations

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 dat

📌 Analytics Consultant Bengaluru (India)
🏢 DataZymes Analytics
📍 India