Experienced Remote Data Scientist - Real World Evidence and Clinical Trials Analysis Expert

Introduction to Walgreens and the Role

Walgreens, a leading healthcare and retail company, is seeking an experienced Data Scientist to join its team as an Information Researcher - RWE. This role will be responsible for producing Certifiable Evidence (RWE) through advanced analysis and innovative methodologies in the clinical trials space. As a vital part of the Scientific Projects group, the successful candidate will have the opportunity to impact internal and external decision-making through the use of innovative data science and technology. If you are a motivated and experienced data scientist looking to make a difference in the healthcare industry, this could be the perfect role for you.

Job Summary

The Information Researcher - RWE will conduct sophisticated data analysis to help address critical business questions. This role reports to the Chief, Clinical Data Science, and will be responsible for mining raw data sets, analyzing and interpreting results, and helping to shape analysis methodology. The successful candidate will also partner with other 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 requests.

Key Responsibilities

• Mine raw data sets to deliver normalized, analysis-ready patient datasets from in-house data assets or licensed platforms, analyze and interpret results, and help shape analysis methodology
• Partner with other 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 requests
• Clean, transform, and store data into an integrated data lake for future analysis and broader team use
• Perform data mining and statistical analysis to analyze RWE/RWD to discover 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 questions from biopharmaceutical companies
• Collaborate on the design and execution of outcomes research studies
• Ensure high-quality, comprehensive, and readily interpretable predictions from RWE study and analyses
• Build dashboards, analytics, and reports for internal and external use
• Conduct a reasonable level of effort on new real-world data suppliers, vendors, and drive RWD quality evaluations to inform project decisions

Essential Qualifications

• Experience in designing and executing robust and reproducible statistical analyses with respect to epidemiology and observational research with healthcare data
• Knowledge of common statistical testing methods, including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis
• Experience handling large data 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 intelligence tools

Preferred Qualifications

• PhD, Master's 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
• Expertise 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 on 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

Career Growth Opportunities and Learning Benefits

At Walgreens, we are committed to the growth and development of our employees. As a Data Scientist, you will have the opportunity to work on complex and challenging projects, develop your skills and expertise, and contribute to the advancement of the healthcare industry. You will also have access to training and development programs, mentorship, and opportunities for career advancement.

Work Environment and Company Culture

Walgreens is a dynamic and innovative company that values diversity, inclusion, and teamwork. Our company culture is built on a foundation of respect, integrity, and a commitment to excellence. We offer a collaborative and supportive work environment that encourages creativity, innovation, and growth. As a remote employee, you will be part of a virtual team that is connected through technology and shared goals.

Compensation, Perks, and Benefits

We offer a competitive salary of $26 per hour, as well as a comprehensive benefits package that includes health insurance, retirement savings, and paid time off. You will also have access to a range of perks and discounts, including discounts on Walgreens products and services, flexible work arrangements, and opportunities for professional development and growth.

Conclusion

If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity. As a Data Scientist at Walgreens, you will have the chance to make a real difference in the healthcare industry, work on complex and challenging projects, and develop your skills and expertise. Don't miss out on this opportunity to join our team and contribute to the advancement of healthcare. Apply now and take the first step towards a rewarding and challenging career as a Data Scientist at Walgreens.