Data Scientist, RWE Clinical Trials - Remote

About the Role

Key Responsibilities

• 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
• 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
• Analyze unmet needs, treatment patterns, and healthcare economic burden data to support budget impact modeling 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 find new insights regarding patient populations and treatment outcomes
• Support the development of real world data, analytics, and platform capabilities using advanced analytics methodologies and tools
• Collaborate on design and execution of outcomes research studies from a data science perspective
• Ensure high quality, rigorous, and interpretable deliverables from RWE studies and analyses
• Build dashboards, analytics, and reports for internal and external stakeholders

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 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

Nice to Have

• 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
• Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials
• Experience working on alternative data sources and methods of clinical data collection
• Experience with experimental design, Bayesian modeling, sequential data, and computational statistics
• Understanding of statistics and machine learning methods and ability to self-learn technical and non-technical skills

Qualifications

• 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

Benefits & Perks

• Salary range: $89,250 - $244,800 per year
• Additional compensation and bonus opportunities based on experience and seniority
• Comprehensive benefits package available at jobs.walgreens.com/benefits