DataZymes is seeking a highly analytical and client-focused Patient / Commercial 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.

Do not apply if there is no US pharma commercial analytics experience

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 explicit, 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

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