**Experienced Full-Time Information Researcher - RWE: Leading Real-World Evidence Generation and Advanced Analytics at Walgreens**
Join the Walgreens Team: Driving Innovation in Healthcare through Data Science
Walgreens, a leading name in the healthcare industry, is seeking an experienced Information Researcher - RWE to join our team of data scientists. As a key member of our Scientific Affairs team, you will play a crucial role in generating Real-World Evidence (RWE) through cutting-edge analysis and innovative methodologies in the clinical trials space. If you're passionate about leveraging data science and technology to drive business decisions and improve patient outcomes, we want to hear from you!
Job Summary
As an Information Researcher - RWE, you will be responsible for leading sophisticated data analysis to address critical business questions and inform biopharmaceutical RWE and clinical trial submissions. You will work closely with cross-functional teams to deliver meaningful insights from real-world data sources, develop and maintain a comprehensive data lake, and perform advanced analytics to uncover new insights into patient populations and treatment outcomes.
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 significant insights from real-world data sources, including analysis of unmet needs, effective treatments, treatment patterns, and healthcare economic burden.
Clean, transform, and store data into a coordinated data lake for future analysis and broader team utilization.
Perform data mining and statistical analysis to analyze RWE/RWD and discover new insights into 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 and vendors, driving RWD quality assessments to inform investment decisions.
Requirements
Essential Qualifications
2+ years of experience with R, Python, or SQL programming languages.
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 various data sources.
Experience working with protected patient health information.
Familiarity with at least one of the following BI insight tools: Tableau, Power BI, Alteryx, Spotfire, or similar.
Preferred Qualifications
Mastery in EMR/Health IT, disease libraries, and insurance claims databases.
Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
Experience with 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.
Familiarity 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.
What We Offer
At Walgreens, we're committed to creating a work environment that fosters growth, learning, and innovation. As a member of our team, you'll enjoy:
Competitive compensation with a salary of $27/hour.
Part-time work schedule with 8 hours per day.
Opportunities for career growth and professional development in a dynamic and rapidly evolving field.
Collaborative and inclusive work environment that values diversity, equity, and inclusion.
Access to cutting-edge technologies and tools to support your work.
Comprehensive benefits package to support your overall well-being.
Why Join Us?
At Walgreens, we're passionate about improving patient outcomes and enhancing the overall quality of healthcare. As a leader in the industry, we're committed to driving innovation and excellence in everything we do. By joining our team, you'll have the opportunity to:
Make a meaningful impact on patient lives and the healthcare industry.
Work with a talented team of professionals who share your passion for data science and healthcare.
Develop new skills and expertise in a rapidly evolving field.
Contribute to the development of new solutions and insights that drive business decisions.
How to Apply
If you're excited about this opportunity and believe you have the skills and experience to succeed, we encourage you to apply. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you!
Join our team and be part of a dynamic and innovative organization that's shaping the future of healthcare!
Apply Now
Walgreens, a leading name in the healthcare industry, is seeking an experienced Information Researcher - RWE to join our team of data scientists. As a key member of our Scientific Affairs team, you will play a crucial role in generating Real-World Evidence (RWE) through cutting-edge analysis and innovative methodologies in the clinical trials space. If you're passionate about leveraging data science and technology to drive business decisions and improve patient outcomes, we want to hear from you!
Job Summary
As an Information Researcher - RWE, you will be responsible for leading sophisticated data analysis to address critical business questions and inform biopharmaceutical RWE and clinical trial submissions. You will work closely with cross-functional teams to deliver meaningful insights from real-world data sources, develop and maintain a comprehensive data lake, and perform advanced analytics to uncover new insights into patient populations and treatment outcomes.
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 significant insights from real-world data sources, including analysis of unmet needs, effective treatments, treatment patterns, and healthcare economic burden.
Clean, transform, and store data into a coordinated data lake for future analysis and broader team utilization.
Perform data mining and statistical analysis to analyze RWE/RWD and discover new insights into 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 and vendors, driving RWD quality assessments to inform investment decisions.
Requirements
Essential Qualifications
2+ years of experience with R, Python, or SQL programming languages.
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 various data sources.
Experience working with protected patient health information.
Familiarity with at least one of the following BI insight tools: Tableau, Power BI, Alteryx, Spotfire, or similar.
Preferred Qualifications
Mastery in EMR/Health IT, disease libraries, and insurance claims databases.
Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
Experience with 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.
Familiarity 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.
What We Offer
At Walgreens, we're committed to creating a work environment that fosters growth, learning, and innovation. As a member of our team, you'll enjoy:
Competitive compensation with a salary of $27/hour.
Part-time work schedule with 8 hours per day.
Opportunities for career growth and professional development in a dynamic and rapidly evolving field.
Collaborative and inclusive work environment that values diversity, equity, and inclusion.
Access to cutting-edge technologies and tools to support your work.
Comprehensive benefits package to support your overall well-being.
Why Join Us?
At Walgreens, we're passionate about improving patient outcomes and enhancing the overall quality of healthcare. As a leader in the industry, we're committed to driving innovation and excellence in everything we do. By joining our team, you'll have the opportunity to:
Make a meaningful impact on patient lives and the healthcare industry.
Work with a talented team of professionals who share your passion for data science and healthcare.
Develop new skills and expertise in a rapidly evolving field.
Contribute to the development of new solutions and insights that drive business decisions.
How to Apply
If you're excited about this opportunity and believe you have the skills and experience to succeed, we encourage you to apply. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you!
Join our team and be part of a dynamic and innovative organization that's shaping the future of healthcare!
Apply Now