Remote Data Scientist - Real World Evidence (RWE) Research at Walgreens: Shaping Healthcare through Advanced Data Analysis and Innovative Strategies

Unlock Your Career Potential as a Data Scientist at Walgreens

Walgreens, a pioneering American pharmaceutical retailer and a leader in the healthcare industry, is seeking a highly skilled and experienced Data Scientist to join its team as an Information Researcher - RWE. As a key member of the Scientific Affairs group, you will be instrumental in producing 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 impactful decisions and shape the future of healthcare, this is an exceptional opportunity to join a dynamic team and advance your career.

About the Role

The Information Researcher - RWE will be responsible for conducting sophisticated data analysis to address critical business questions and drive meaningful insights. Reporting to the Chief, Clinical Information Science, this role is a vital part of Walgreens' efforts to harness the power of data and analytics to inform healthcare decisions and improve patient outcomes.

Key Responsibilities

• Data Analysis and Insights Generation: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data sources 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, clinical, and other data sources to support biopharmaceutical RWE and clinical trial solicitations.
• Data Management and Quality: Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization, ensuring high-quality, thorough, and promptly interpretable outputs from RWE studies and analyses.
• Advanced Analytics and Research: Perform data mining and statistical analysis to analyze RWE/RWD and uncover new insights into patient populations and treatment outcomes, supporting the development of real-world data, analytics, and platform capabilities.
• Dashboard Development and Reporting: Build dashboards, analyses, and reports for internal and external use, driving informed decision-making and stakeholder engagement.
• Diligence and Quality Assessment: Conduct a reasonable level of effort on new real-world data suppliers and vendors, driving RWD quality assessments to inform investment decisions.

Essential Qualifications and Skills

To succeed in this role, you will need:

• Experience in Statistical Analysis and Research: A background in designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data.
• Knowledge of Statistical Testing Methods: Familiarity with common statistical testing methods, including generalized linear models, clustering and partitioning, decision trees, unsupervised learning, time-series analysis, and survival analysis.
• Experience with Large Datasets: A proven track record of handling large datasets from various 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 Qualifications and Skills

To stand out as a candidate, you will ideally have:

• Advanced Degree: A PhD or graduate degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
• EMR/Health IT Experience: Skill in EMR/Health IT, disease registries, and insurance claims databases, as well as clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies.
• Regulatory Compliance: Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials.
• Innovative Data Collection Methods: Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and/or arrangements.
• Advanced Analytical Techniques: Familiarity with experimental design, Bayesian modeling, sequential data, and computational statistics, as well as a comprehension of statistics and machine learning techniques.

Career Growth and Learning Benefits

At Walgreens, you will have access to a range of opportunities for professional development and career advancement. This includes training programs, skills development initiatives, and the chance to move up the corporate ladder. As a Data Scientist, you will be at the forefront of leveraging data science and analytics to drive business decisions and improve patient outcomes, with ample opportunities to expand your skillset and expertise.

Work Environment and Company Culture

Walgreens is committed to fostering a work environment that is inclusive, diverse, and supportive. As a remote worker, you will be part of a dynamic team that values collaboration, innovation, and flexibility. With a focus on health and wellness, Walgreens offers a range of wellness programs designed to promote employee health and well-being.

Compensation and Benefits

Walgreens offers a competitive compensation package, including a salary of $26/hour for this role. In addition to financial rewards, employees can access a range of benefits, including:

• 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 the amount of free time varying based on job title and seniority.
• Retirement Plans: Retirement savings plans, such as 401(k) plans, to help employees save for retirement.
• Employee Discounts: Discounts on products and services sold in Walgreens stores.
• Flexible Scheduling: Depending on your specific job role, Walgreens may offer flexible scheduling options to meet different employee needs.

Join the Walgreens Team

If you're a motivated and experienced Data Scientist looking to drive meaningful impact in the healthcare industry, we encourage you to apply for this exciting opportunity. With a commitment to innovation, customer-centricity, and employee well-being, Walgreens is an exceptional place to build a rewarding career. Don't miss this chance to join a dynamic team and shape the future of healthcare through advanced data analysis and innovative strategies.

Apply Now!