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