Remote Part Time Data Scientist - Real World Evidence Research at Walgreens: $27/Hour

Unlock Your Career Potential as a Data Scientist at Walgreens

Walgreens, a leading American pharmaceutical retailer and company, is seeking a highly skilled and experienced Data Scientist to join its team on a part-time, remote basis. As a Data Scientist, you will play a critical role in creating Real World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. If you have a passion for data science, a strong analytical mindset, and excellent communication skills, we encourage you to apply for this exciting opportunity.

About Walgreens and the Role

Walgreens has been a trusted name in the healthcare industry for over a century, providing a wide range of products and services to customers across the United States. As a Data Scientist at Walgreens, you will be part of the Scientific Issues team, working closely with cross-functional stakeholders to drive business decisions through data-driven insights. This is a unique opportunity to leverage your technical expertise and business acumen to make a meaningful impact on the company's success.

Key Responsibilities

• Mine raw data sets to deliver normalized, analysis-ready patient cohorts from in-house data sources or licensed platforms, analyze and interpret results, and help shape research strategy.
• Collaborate 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 requests.
• 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 uncover 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 address scientific questions from biopharmaceutical companies.
• Collaborate on design and execution of outcomes research studies.
• Ensure high-quality, rigorous, and promptly interpretable outputs from RWE research and analyses.
• Build dashboards, analyses, and reports for internal and external consumption.
• Conduct due diligence on new real-world data suppliers/vendors and drive RWD quality assessments to inform investment decisions.

Essential Qualifications

• Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics).
• 2+ years of experience with R, Python, or SQL.
• 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 methodologies, including generalized linear models, clustering and classification, decision trees, ensemble 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

• Expertise in EMR/Health IT, disease libraries, and insurance claims datasets.
• 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/or 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 trial design, Bayesian modeling, sequential data, computational statistics.
• Understanding of statistical and machine learning methodologies, ability to continue self-learning of technical and non-technical skills.

What We Offer

As a part-time, remote Data Scientist at Walgreens, you will enjoy a competitive hourly rate of $27/hour. In addition to the financial benefits, you will also have access to a range of benefits, including:

• 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, including 401(k) plans.
• Employee discounts on products and services sold in Walgreens stores.
• Professional development opportunities.
• Wellness programs.
• Flexible scheduling options.

Why Join Walgreens?

Walgreens is a dynamic and innovative company that is committed to making a positive impact on the lives of its customers and employees. As a Data Scientist at Walgreens, you will have the opportunity to work on complex and challenging projects, collaborate with talented colleagues, and develop your skills and expertise. If you are a motivated and ambitious professional looking for a new challenge, we encourage you to apply for this exciting opportunity.

How to Apply

If you are a skilled and experienced Data Scientist looking for a part-time, remote opportunity, please submit your application through our website. We look forward to hearing from you!

Equal Employment Opportunity: Walgreens is an equal employment opportunity employer and welcomes applications from diverse candidates.