Analyst / Senior Analyst - Patient Analytics

We are looking for passionate and driven professionals to join Data. Zymes, a next-generation analytics and data science company founded in 2016. At Data. Zymes, 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. Data. Zymes 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 Collaborative team player with strong client orientation