Experienced Full Stack Data Scientist - Real World Evidence (RWE) and Clinical Information Science at Walgreens - Remote Part-Time Opportunity with $27/Hour

Join the Walgreens Team as a Data Scientist and Make a Difference in Healthcare Walgreens, a leading American pharmaceutical retailer, is seeking an experienced Data Scientist to join our team as an Information Researcher - RWE. As a key member of our Clinical Information Science team, you will have the opportunity to work on cutting-edge projects, driving business decisions through innovative data science and technology. This is a part-time, remote opportunity with a competitive hourly rate of $27. About Walgreens and Our Culture Founded in 1901 in Chicago, Illinois, Walgreens has grown to become one of the largest drug store chains in the United States. We offer a wide range of products and services, including prescription drugs, over-the-counter medications, health and wellness products, beauty products, and more. Our company culture is built on a foundation of integrity, respect, and teamwork. We value diversity, equity, and inclusion, and strive to create a work environment that is engaging, challenging, and rewarding for all employees. Job Summary As an Information Researcher - RWE, you will be responsible for creating Real World Evidence (RWE) through advanced analysis and innovative approaches in the clinical trials space. You will lead sophisticated data analyses to address critical business questions, working closely with cross-functional teams to deliver meaningful insights from real-world data sources. This role reports to the Chief, Clinical Information Science, and offers a unique opportunity to impact internal and external decision-making through data-driven insights. Key Responsibilities Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data assets or licensed platforms, analyze and interpret results, and help shape investigation strategies. Collaborate with various members of the Walgreens Clinical Trials team to deliver actionable insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial submissions. Clean, transform, and store data in a centralized data lake for future analysis and broader team utilization. Perform data mining and statistical analysis to analyze RWE/RWD and identify 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 resolve scientific inquiries from biopharmaceutical companies. Contribute to the design and execution of outcomes research studies. Ensure high-quality, thorough, and promptly interpretable deliverables from RWE reviews and analyses. Develop dashboards, analyses, and reports for internal and external use. Conduct due diligence on new real-world data suppliers/vendors and drive RWD quality assessments to inform investment decisions. Essential Qualifications Bachelor's degree in a relevant field (e.g., computer science, statistics, mathematics, or a related field). 2+ years of experience with R, Python, or SQL. Experience in designing and executing effective and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data. Knowledge of common statistical testing methods, including generalized linear models, regression, decision trees, solo learning, time series analysis, and survival analysis. Experience handling large datasets from multiple sources. Experience handling protected patient health information. Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI insight tools. Preferred Qualifications Mastery in EMR/Health IT, disease libraries, and insurance claims databases. Aptitude in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode). Experience in Good Clinical Practice (GCP) and regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR). Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and solutions. Experience with trial design, Bayesian modeling, sequential data, and computational statistics. Understanding of statistical and AI methods, with the ability to continue self-learning of technical and non-technical skills. Career Growth Opportunities and Learning Benefits At Walgreens, we are committed to the growth and development of our employees. This role offers opportunities for professional advancement, skills development, and training programs to help you achieve your career goals. You will have access to: Professional development and training programs. Opportunities for career advancement and mobility. Collaborative and dynamic work environment. Flexible scheduling options (dependent on job role). Work Environment and Company Culture Our company culture is built on a foundation of integrity, respect, and teamwork. We value diversity, equity, and inclusion, and strive to create a work environment that is engaging, challenging, and rewarding for all employees. As a remote worker, you will have the flexibility to work from home and collaborate with our team through digital communication tools. Compensation, Perks, and Benefits We offer a competitive hourly rate of $27 for this part-time opportunity. As a Walgreens employee, you will also have access to: Health care benefits (medical, dental, and vision insurance). Prescription drug discounts. Employee Assistance Program (EAP). Paid time off (holidays, vacations, and sick days). Retirement savings plans (401(k) plans). Employee discounts on products and services. Wellness programs. How to Apply If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your application through our website, and we will be in touch with you soon. Don't miss this chance to join our team and make a difference in healthcare! Apply for this job