Data Scientist, Rwe Clinical Trials, Remote

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 Director, Clinical Data Science
Job Responsibilities

• Ensures high quality, rigorous and readily interpretable deliverables from RWE Studies analyses
• Conducts due diligence on new real world data providers vendors and drive RWD quality assessments to inform investment decisions
• Builds dashboards, analytics and reports for internal and external consumption
• 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
• Collaborates on design and execution of outcomes research studies from a data science and analytics perspective
• 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
• Cleans, transforms and stores data into an integrated data lake for future analysis and broader team consumption
• 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
• Performs data mining and statistical analysis to analyze RWERWD in order to find new insights regarding patient populations and treatment outcomes

About Walgreens and WBA
Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy and U.S. Healthcare segments of Walgreens Boots Alliance, Inc. (Nasdaq WBA), an integrated healthcare, pharmacy and retail leader with a 170 year heritage of caring for communities. WBAs purpose is to create more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving nearly 10 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for the nations medically underserved populations. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with fully integrated physical and digital platforms supported by the latest technology to deliver high quality products and services in communities nationwide.
Basic Qualifications

• Experience handling protected patient health information
• Knowledge of common statistical testing 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 in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data
• Bachelor's degree or graduate degree and at least 4 years of experience in a quantitative or computational function
• 4 years of experience in R, Python, or SQL.
• Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools

Preferred Qualifications

• 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)
• Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience with experimental design, Bayesian modeling, sequential data, computational statistics
• Experience working on alternative data sources and alternative methods of clinical data collection, especially those enabled by technology platforms and/or solutions.
• Understanding of statistics and machine learning methods, ability to continue self learning of technical and non technical skills
• 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