Data Scientist, RWE Clinical Trials - Remote

$95,600 - $244,800/Yr

Walgreens Boots Alliance - Deerfield, IL

Full-time - Mid Level

Remote - Deerfield, IL

10,001+ employees

Health and Personal Care Retailers

About the position

The Data Scientist - RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. This role is integral to the Scientific Affairs team, focusing on influencing decision-making through data science and technology. The position involves conducting sophisticated data analysis to address critical business questions.

Responsibilities

• Conducts due diligence on new real world data providers and drives RWD quality assessments to inform investment decisions.
• Mines raw data sets to deliver standardized, analysis-ready patient cohorts from in-house data assets or online licensed platforms.
• Partners 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.
• Cleans, transforms, and stores data into an integrated data lake for future analysis and broader team consumption.
• Performs data mining and statistical analysis 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.

Requirements

• 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 or technical discipline.
• 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 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.

Nice-to-haves

• 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.

Benefits

• Competitive salary range of $95,600 - $244,800 a year plus bonus opportunities.
• Comprehensive health insurance coverage.
• 401k retirement savings plan with company matching contributions.
• Paid time off and holidays.
• Opportunities for continued education and professional development.