We are looking for passionate and driven professionals 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 role 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 Analyst/Senior Analyst with 2–4 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 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 Requirements

Education

Bachelor’s degree in Data Science, Statistics, Public Health, Epidemiology, Biostatistics, Computer Science, or related field

Master’s degree preferred

Experience

2–4 years of experience in healthcare analytics, life sciences analytics, or consulting

Hands-on experience with patient-level healthcare datasets

Experience working across multiple therapeutic areas

Experience delivering analytics in a client-facing environment preferred

Technical Skills

Advanced SQL and Python skills

Experience building and validating predictive models

Domain Expertise

Strong understanding of care delivery and patient pathways

Experience linking claims, EHR, lab, and pharmacy data

Knowledge of longitudinal analysis and real-world evidence generation

Consulting & Communication Skills

Ability to synthesize complex analyses into actionable recommendations

Experience engaging cross-functional stakeholders

Personal Attributes

Learning agility and intellectual curiosity

Strong ownership and accountability

Team-oriented team player with strong client orientation

📌 Analyst / Senior Analyst - Patient Analytics (Karnataka)
🏢 DataZymes Analytics
📍 Karnataka