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 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

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 transparent, 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

- 4–7 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

📌 Analytics Consultant - Patient Analytics (Bengaluru)
🏢 DataZymes Analytics
📍 Bengaluru