Join the Walgreens Team as an Information Researcher - RWE and Be at the Forefront of Data-Driven Healthcare Innovation
Walgreens, a leading American pharmaceutical retailer and healthcare company, is seeking a highly skilled Information Researcher - RWE to join our team of data scientists. As a key member of our Scientific Enterprises team, you will play a crucial role in generating Real World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. If you're passionate about using data science to drive business decisions and improve patient outcomes, we encourage you to apply for this exciting remote opportunity.
About Walgreens and Our Commitment to Healthcare Innovation
Founded in 1901 in Chicago, Illinois, Walgreens has grown to become one of the largest drug store chains in the United States. Our company is dedicated to providing a wide range of products and services, including prescription drugs, over-the-counter medications, health and wellness products, beauty products, and more. At Walgreens, we're committed to leveraging data science and technology to drive business growth, improve patient outcomes, and enhance the overall healthcare experience.
Job Summary
As an Information Researcher - RWE, you will be responsible for designing and executing advanced analytics projects to generate RWE from various data sources, including electronic health records, claims data, and other real-world data sources. You will work closely with cross-functional teams, including biopharmaceutical companies, to deliver insights that inform business decisions and drive healthcare innovation.
Key Responsibilities
- 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 investigation methodology.
- Partner with various members of the Walgreens Clinical Trials team to deliver meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial solicitations.
- Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization.
- Perform data mining and statistical analysis to analyze RWE/RWD to 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.
- Collaborate on the design and execution of outcomes research studies.
- Ensure high-quality, thorough, and promptly interpretable deliverables from RWE reviews and investigations.
- Build dashboards, analytics, and reports for internal and external use.
- Conduct a reasonable level of effort on new real-world data supplier vendors and drive RWD quality assessments to inform investment decisions.
Requirements
Essential Qualifications
- Bachelor's degree in a quantitative field, such as statistics, biostatistics, computer science, mathematics, or related field.
- 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 methods, including generalized linear models, clustering and separation, decision trees, unsupervised learning, time series analysis, and survival analysis.
- Experience handling large datasets from multiple data 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
- PhD or graduate 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.
- Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
- Experience in Good Clinical Practice (GCP) as well as 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/or solutions.
- Experience with experimental design, Bayesian modeling, sequential data, computational statistics.
- Understanding of statistical and machine learning techniques, ability to continue self-learning of technical and non-technical skills.
What We Offer
Competitive Compensation and Benefits
At Walgreens, we offer a comprehensive compensation package, including:
- $26/hour salary.
- Health care benefits, including medical, dental, and vision insurance.
- Prescription drug discounts.
- Employee Assistance Program (EAP).
- Paid time off for holidays, vacations, and sick days.
- Retirement savings plans, such as 401(k) plans.
- Employee discounts on products and services.
Professional Development and Growth Opportunities
At Walgreens, we're committed to supporting the professional growth and development of our employees. We offer:
- Training programs and skills development initiatives.
- Opportunities for career advancement and promotion.
- Wellness programs and resources.
- Flexible scheduling options.
Why Join Our Team?
As an Information Researcher - RWE at Walgreens, you'll have the opportunity to:
- Work with a talented team of data scientists and healthcare professionals.
- Contribute to the development of innovative solutions that drive healthcare growth and improvement.
- Collaborate with cross-functional teams to deliver insights that inform business decisions.
- Enjoy a flexible and remote work arrangement.
- Take advantage of our comprehensive compensation and benefits package.
How to Apply
If you're passionate about using data science to drive business decisions and improve patient outcomes, we encourage you to apply for this exciting remote opportunity. Please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
Apply Now