Job Summary:

The Data Scientist – RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to the VP of Scientific Affairs.

Job Responsibilities:

• Assists in the due diligence on new real world data providers/vendors and drive RWD quality assessments to inform investment decisions
• Works to mine raw data sets to deliver standardized, analysis-ready patient cohorts from in house data assets or online licensed platforms, including generating hypotheses and analyzing data to test and interpret results standardized in close collaboration with the value and outcomes research and patient/market access team and help shape the analytics strategy
• Partners with other members of the Walgreens Clinical Trial team members to deliver actionable insights from real-world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests. Potential efforts include analysis of unmet needs (safe and effective therapy in certain disease states), treatment patterns and healthcare/economic burden data to support budget impact modelling and cost effectiveness modeling
• Cleans, transforms and stores data into an integrated data lake for future analysis and broader team consumption
• Performs data mining and statistical analysis to analyze RWE/RWD in order to find new insights regarding patient populations and treatment outcomes
• Supports the development of real-world data, analytics and platform capabilities, applying cutting-edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companies
• Collaborates on design and execution of outcomes research studies from a data science and analytics perspective
• Ensures high quality, rigorous and readily interpretable deliverables from RWE studies/analyses
• Builds dashboards, analytics and reports for internal and external consumption.