Remote Data Scientist - Real World Evidence (RWE) Research at Walgreens: Unlocking Healthcare Insights through Advanced Data Analysis ($26/Hour)

🌍 Remote, USA 💹 Full-time 🕐 Posted Recently

Job Description

Transforming Healthcare through Data-Driven Insights

Walgreens, a leading American pharmaceutical retailer and company, is at the forefront of leveraging data science and technology to revolutionize the healthcare industry. As a pioneer in the field, we're seeking a highly skilled and experienced Data Scientist to join our team as an Information Researcher - RWE. In this role, you'll play a critical part in producing Real World Evidence (RWE) through cutting-edge analysis and innovative methodologies in the clinical trials space.

About the Role

As a Data Scientist within our Scientific Affairs team, you'll be responsible for conducting sophisticated data analysis to address key business questions and drive informed decision-making. Reporting to the Chief, Clinical Information Science, you'll collaborate with cross-functional teams to deliver actionable insights from real-world, clinical, and other data sources. This is a fantastic opportunity to make a meaningful impact on the future of healthcare and advance your career in a dynamic and supportive environment.

Key Responsibilities


  • Data Analysis and Insights: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data resources or licensed platforms, analyze and interpret results, and help shape research methodologies.

  • Collaboration and Stakeholder Engagement: Work closely with various members of the Walgreens Clinical Trial colleagues to deliver meaningful insights from real-world data sources to support biopharmaceutical RWE and clinical trial requests.

  • Data Management: Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization.

  • Advanced Analytics: Perform data mining and statistical analysis to analyze RWE/RWD and uncover new insights into patient populations and treatment outcomes.

  • Research and Development: Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to resolve scientific questions from biopharmaceutical companies.

  • Study Design and Execution: Collaborate on the design and execution of outcomes research studies.

  • Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE studies and analyses.

  • Data Visualization: Build dashboards, analyses, and reports for internal and external utilization.

  • Vendor Management: Conduct a reasonable level of due diligence on new real-world data suppliers/vendors and drive RWD quality assessments to inform investment decisions.

Essential Capabilities


  • Statistical Analysis: Experience in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data.

  • Data Handling: Experience handling large datasets from multiple data sources and working with protected patient health information.

  • Business Intelligence Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI insight tools.

Preferred Capabilities


  • Advanced Degree: PhD or graduate degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.

  • Healthcare IT: Skill in EMR/Health IT, disease registries, and insurance claims databases.

  • Clinical Data Standards: Familiarity with clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).

  • Regulatory Compliance: Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).

  • Innovative Data Sources: Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and/or arrangements.

  • Advanced Analytics: Experience with experimental design, Bayesian modeling, sequential data, computational statistics.

  • Continuous Learning: Understanding of statistics and machine learning techniques, with the ability to continue self-learning of technical and non-technical skills.

About Walgreens and its Benefits

Walgreens is a well-established American pharmaceutical retailer and company, founded in 1901 in Chicago, Illinois. With a rich history and a commitment to delivering high-quality products and services, we've grown to become one of the largest drug store chains in the United States. Our offerings include prescription drugs, over-the-counter medications, health and wellness products, beauty products, photo services, and more.

Employee Benefits

At Walgreens, we're dedicated to supporting the well-being and career growth of our employees. Our benefits package includes:


  • Healthcare Benefits: Medical, dental, and vision insurance to eligible employees.

  • Prescription Drug Discounts: Discounts on prescription drugs and over-the-counter medications when filling prescriptions at Walgreens pharmacies.

  • Employee Assistance Program (EAP): Confidential counseling and support services for employees and their families.

  • Paid Time Off: Paid time off for holidays, vacations, and sick days, with varying amounts based on job title and seniority.

  • Retirement Plans: Retirement savings plans, such as 401(k) plans, with potential employer matching contributions.

  • Employee Discounts: Discounts on products and services sold in Walgreens stores.

  • Professional Development: Opportunities for professional growth and advancement within the company.

  • Wellness Programs: Wellness initiatives designed to promote employee health and well-being.

  • Flexible Scheduling: Flexible scheduling options to accommodate different employee needs.

Join Our Team

If you're a motivated and experienced Data Scientist looking to make a meaningful impact in the healthcare industry, we invite you to apply for this exciting opportunity. As a Remote Data Scientist - Real World Evidence (RWE) Research at Walgreens, you'll be part of a dynamic team driving innovation and excellence in data analysis and insights. With a competitive hourly rate of $26 and a comprehensive benefits package, we offer a rewarding career path with opportunities for growth and development.

Don't miss this chance to join a leading company in the pharmaceutical retail industry and contribute to the future of healthcare. Apply now and take the first step towards a fulfilling career with Walgreens.

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