Senior Data Scientist – Real World Data & Healthcare Analytics

Senior Data Scientist – Real World Data & Healthcare AnalyticsLocation: Gurugram | Bangalore | Hyderabad | Pune | Navi Mumbai | Mohali | PanchkulaWork Model: Full-Time | OnsiteShift: US/EST Aligned Working Hours (Night Shift)Compensation: Up to ₹32 LPAAbout the RoleWe are looking for an experienced Data Science professional with strong expertise in Real-World Data (RWD), Healthcare Analytics, and observational healthcare research to support high-impact analytics initiatives for global healthcare and pharmaceutical programs.The role involves working with large-scale healthcare claims and patient-level datasets to generate meaningful evidence supporting clinical, commercial, and strategic decision-making.Key ResponsibilitiesPerform advanced analytics on healthcare claims, patient journeys, treatment pathways, and longitudinal healthcare datasets.Develop statistical and machine learning models to support healthcare outcomes research and business decision-making.Design and execute observational studies, cohort analyses, and comparative effectiveness research initiatives.Work closely with Medical Affairs, HEOR, Market Access, Clinical, and Commercial teams to translate business questions into analytical solutions.Build scalable data pipelines, reusable analytical frameworks, and automated reporting workflows.Conduct feature engineering, cohort identification, survival analysis, predictive modeling, and longitudinal patient analytics.Interpret healthcare coding systems and structured clinical datasets to derive actionable insights.Present analytical findings to technical and business stakeholders using dashboards, storytelling, and visualization techniques.Maintain high standards for data quality, reproducibility, documentation, and analytical rigor.Required Skills & Experience4+ years of experience in Healthcare Analytics, RWE/RWD Analytics, Biostatistics, Pharmacoepidemiology, or related domains.Strong hands-on experience working with large healthcare claims datasets such as Optum, MarketScan, Medicare/Medicaid, EHR, or similar real-world data sources.Expertise in Python, R, SQL, SAS, or a combination of these technologies.Strong understanding of observational study methodologies, healthcare analytics, and patient-level longitudinal analysis.Experience with survival analysis, regression modeling, cohort creation, causal inference, propensity score matching, or related statistical methods.Familiarity with healthcare coding standards such as ICD-10, CPT, HCPCS, NDC, or LOINC.Experience working in cloud/distributed analytics environments including Spark, Fabric, Databricks, or similar platforms.Strong communication and stakeholder management capabilities.Preferred BackgroundPrior experience supporting pharmaceutical, biotech, healthcare consulting, or life sciences organizations.Exposure to Oncology, Hematology, Dermatology, Immunology, or other complex therapeutic areas.Experience contributing to publications, conference abstracts, HEOR studies, or evidence-generation initiatives.Knowledge of healthcare economics, market access analytics, or commercialization analytics is a plus.

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