Senior Data Scientist - Patient Analytics
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Key skills for this role
Key Skills for This Role
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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 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
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
About DataZymes
DataZymes is a private pharma analytics company delivering data products and consulting services to life-sciences teams.
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