**Senior Data Scientist - Real World Evidence (RWE) at Walgreens - Remote Opportunity with $26/Hour Salary**

Join the Team at Walgreens: A Leader in Healthcare and Retail Walgreens, a well-established American pharmaceutical retailer and healthcare company, is seeking a highly skilled Senior Data Scientist - Real World Evidence (RWE) to join our team. With a rich history dating back to 1901, Walgreens has grown to become one of the largest drug store chains in the United States, offering a wide range of products and services, including prescription drugs, health and wellness products, and more. As a Senior Data Scientist - RWE, you will play a critical role in driving business decisions through advanced data analysis and innovative approaches in the clinical trials space. Job Summary We are looking for a talented Senior Data Scientist - RWE to lead the development of real-world evidence (RWE) through cutting-edge analysis and creative methodologies. As a key member of our Scientific Enterprises team, you will be responsible for directing sophisticated data analysis to address critical business questions and drive informed decision-making. This role reports to the Chief, Clinical Information Science, and offers a unique opportunity to make a significant impact on our organization. Key Responsibilities Mine and Analyze Data: Extract, normalize, and analyze large datasets from various sources, including in-house data repositories and licensed platforms, to deliver actionable insights and shape investigation strategies. Collaborate with Cross-Functional Teams: Work closely with the Walgreens Clinical Trials team to deliver meaningful insights from real-world data, clinical trials, and other sources to support biopharmaceutical RWE and clinical trial submissions. Data Management: Clean, transform, and store data in an integrated data lake for future analysis and broader team utilization. Advanced Analytics: Perform data mining and statistical analysis to identify new insights related to patient populations and treatment outcomes. Study Design and Execution: Collaborate on the design and execution of outcomes research studies. Quality and Interpretability: Ensure high-quality, comprehensive, and promptly interpretable results from RWE reviews and investigations. Data Visualization: Develop dashboards, analyses, and reports for internal and external use. Vendor Management: Conduct due diligence on new real-world data suppliers and drive RWD quality assessments to inform business decisions. Essential Qualifications Bachelor's Degree: In a relevant field, such as epidemiology, biostatistics, computer science, or mathematics. Experience: Proven experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data. Statistical Knowledge: Familiarity with common statistical testing methods, including generalized linear models, clustering and separation, decision trees, unsupervised learning, time series analysis, and survival analysis. Data Handling: Experience handling large datasets from diverse sources. Patient Health Information: Experience handling protected patient health information. BI Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence tools. Preferred Qualifications Advanced Degree: PhD or graduate degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field. EMR/Health IT: Expertise in EMR/Health IT, disease registries, and insurance claims databases. Clinical Data Standards: Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode). GCP and Regulatory Compliance: Experience with Good Clinical Practice (GCP) and regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR). Alternative Data Sources: Experience working with alternative data sources and methods for clinical data collection, particularly those enabled by technology platforms and solutions. Advanced Analytical Techniques: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics. Career Growth Opportunities and Learning Benefits At Walgreens, we are committed to the growth and development of our employees. As a Senior Data Scientist - RWE, you will have access to: Professional Development: Training programs, skills development initiatives, and opportunities for career advancement. Wellness Programs: Fitness challenges, health screenings, and wellness resources to promote employee health. Flexible Scheduling: Flexible scheduling options to meet different employee needs. Work Environment and Company Culture Walgreens is a dynamic and inclusive work environment that values diversity, equity, and inclusion. Our company culture is built on: Collaboration: We work together as a team to achieve common goals. Innovation: We encourage creativity and innovation to drive business success. Customer Focus: We prioritize customer satisfaction and strive to deliver exceptional experiences. Compensation, Perks, and Benefits As a Senior Data Scientist - RWE at Walgreens, you will enjoy: Competitive Salary: $26/hour. Health Care Benefits: Medical, dental, and vision insurance. Prescription Drug Discounts: Discounts on prescription drugs and over-the-counter medications. Employee Assistance Program (EAP): Confidential counseling and support services. Paid Time Off: Holidays, vacations, and sick days. Retirement Plans: 401(k) plans with matching employer contributions. Conclusion If you are a motivated and talented Senior Data Scientist - RWE looking for a new challenge, we encourage you to apply for this exciting opportunity at Walgreens. As a leader in healthcare and retail, we offer a dynamic work environment, competitive compensation, and opportunities for growth and development. Join our team and make a meaningful impact on our organization! Apply Now! Apply for this job