Consultant - Patient / Commercial Analytics

Job Title: Consultant - Patient / Commercial Analytics Company: DataZymes Job Category: Data Science Roles & Responsibilities: * 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 * 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) * 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 Work Location: Greater Bengaluru Area Availability: Full time

DataZymes is seeking a highly analytical and client\-focused Patient / Commercial Analytics Consultant with 0-3 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. Do not apply if there is no US pharma commercial analytics experience Requirements Education * Bachelor’s degree in Data Science, Statistics, Public Health, Epidemiology, Biostatistics, Computer Science, or related field * Master’s degree preferred Experience * 0-3 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 * 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 * Ability to synthesize complex analyses into actionable recommendations * Experience engaging cross\-functional stakeholders Key Skills: Data Science, Python, SQL, Statistics Salary: Not disclosed