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 an 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 Director, Clinical Data Science.
Job Responsibilities
- Mine raw data sets to deliver standardized, analysis-ready patient cohorts from in-house data assets or licensed platforms, analyze and interpret results, and help shape analytics strategy.
- Partner with other members of the Walgreens Clinical Trial team 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, and cost-effectiveness modeling.
- Clean, transform, and store data into an integrated data lake for future analysis and broader team consumption.
- Perform data mining and statistical analysis to analyze RWE/RWD in order to find new insights regarding patient populations and treatment outcomes.
- Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address scientific questions from biopharmaceutical companies.
- Collaborate on the design and execution of outcomes research studies.
- Ensure high-quality, rigorous, and readily interpretable deliverables from RWE studies and analyses.
- Build dashboards, analytics, and reports for internal and external consumption.
- Conduct due diligence on new real-world data providers and drive RWD quality assessments to inform investment decisions.
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. WBA's 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 nation's 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
- 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.
- Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data.
- 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 handling protected patient health information.
- Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI intelligence tools.
Preferred Qualifications
- PhD or 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, with the ability to continue self-learning of technical and non-technical skills.
An employee in this position can expect a salary rate between $110,340 and $196,010 plus bonus pursuant to the terms of any bonus plan if applicable. The actual salary will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please click here.
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