Sr Data Scientist (NCS/Job/ 3521)

Key Responsibilities:
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Apply strong understanding of healthcare delivery models and patient care pathways
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Conduct patient centric analysis like treatment pattern, line-of-therapy, and disease progression analyses etc.
Patient-Level Data Integration & Journey Mapping:
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Integrate and analyze claims, EHR, lab, and pharmacy datasets etc to develop longitudinal patient journeys across multiple care settings
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Define cohorts, enrolment logic, and episode-of-care frameworks
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Ensure data quality, consistency, and reproducibility
Advanced Analytics & Predictive Modelling:
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Develop complex SQL /Python queries for large-scale healthcare datasets
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Developed risk stratification models using machine learning techniques to prioritize patients based on clinical and behavioural risk factors.
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Applied time-series and survival analysis to study treatment duration, drop-offs, and patient retention trends.
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Leveraged NLP on patient interaction data (notes, call logs) to identify common barriers like side effects, cost issues, and therapy fatigue
Data Interpretation & Storytelling:
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Translate analytical findings into clear, strategic insights and develop executive-ready presentations and dashboards
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Communicate complex methodologies to both technical and non-technical stakeholders
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Quantify business and clinical impact of recommendations
Innovation & Learning Agility:
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Innovation & Learning Agility
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Quickly ramp up in new therapeutic