Data Scientist, RWE Clinical Trials

• Conducts due diligence on new real world data providers vendors and drive RWD quality assessments to inform investment decisions
• 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 health care 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 RWERWD 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

About Walgreens

Founded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.

Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.

The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits More Company information is available at www.walgreensbootsalliance.com.

#LI-CB1

• Bachelor’s Degree and at least 4 years of experience in quantitative or computational functions OR High School/GED and at least 7 years of experience in quantitative or computational functions
• Bachelor's degree or graduate degree in a quantitative, computational or technical discipline
• Analytics experience in R, Python, SQL
• Experience in designing and executing robust and reproducible statistical analyses
• Knowledge of common statistical and machine learning techniques including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis, and survival analysis
• Experience processing large data from various data sources
• Experience handling sensitive data such as patient health records or personally identifiable information
• Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, Metabase or other BI intelligence tools
• Willing to travel up to 10% of the time for business purposes (within state and out of state)

• PhD, Master’s degree in, statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering or related field
• Expertise in EMR/Health IT, disease registries, and insurance claims databases
• Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
• Experience working on alternative data sources and alternative methods of clinical data collection, especially those enabled by technology platforms and/or solutions
• Experience with experimental design, Bayesian modeling, sequential data, computational statistics
• Understanding of statistics and machine learning methods, ability to continue self-learning of technical and non-technical skills