Experienced Remote Data Scientist - Real World Evidence and Clinical Trials Analysis for Walgreens
Introduction to Walgreens and the Role
Walgreens, a leading healthcare and retail company, is seeking an experienced Data Scientist to join its team in the clinical trials space. As a Data Scientist specializing in Real World Evidence (RWE), you will play a crucial role in the Scientific Projects group, utilizing cutting-edge analysis and innovative methodologies to produce certifiable evidence. Your expertise will be vital in influencing both internal and external decision-making through the application of innovative data science and technology. This role offers a unique opportunity to conduct sophisticated data analysis to address critical business questions, reporting to the Chief, Clinical Data Science.
Job Responsibilities
In this position, your primary responsibilities will include:
- Mining raw data sets to deliver standardized, analysis-ready patient datasets from in-house data assets or licensed platforms, analyzing and interpreting results, and helping shape analysis methodology.
 - Collaborating 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.
 - Cleaning, transforming, and storing data into an integrated data lake for future analysis and broader team use.
 - Performing data mining and statistical analysis to analyze RWE/RWD to discover new insights regarding patient populations and treatment outcomes.
 - Supporting the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to resolve scientific questions from biopharmaceutical companies.
 - Collaborating on the design and execution of outcomes research studies.
 - Ensuring high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses.
 - Building dashboards, analytics, and reports for internal and external use.
 - Conducting a reasonable level of effort on new real-world data suppliers, vendors, and driving RWD quality assessments to inform project decisions.
 
Essential Qualifications
To be successful in this role, you will need:
- 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 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
Preferred candidates will have:
- A PhD or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
 - Expertise in EMR/Health IT, disease registries, and insurance claims databases.
 - Knowledge of 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 access to a wide range of training and development opportunities, including:
- Professional development programs to enhance your skills and knowledge in data science and analytics.
 - Opportunities to work on high-impact projects that drive business results and improve patient outcomes.
 - Collaboration with a talented team of data scientists, clinicians, and business leaders to share knowledge and best practices.
 - Access to cutting-edge technologies and tools to stay up-to-date with the latest advancements in data science and analytics.
 
Work Environment and Company Culture
At Walgreens, we pride ourselves on our dynamic and inclusive work environment. As a Data Scientist, you will be part of a team that values:
- Collaboration and teamwork to drive business results and improve patient outcomes.
 - Innovation and creativity to develop new solutions and approaches to complex problems.
 - Diversity and inclusion to foster a culture of respect, empathy, and understanding.
 - Continuous learning and development to stay up-to-date with the latest advancements in data science and analytics.
 
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
- A salary of $26 per hour.
 - Comprehensive benefits package, including medical, dental, and vision insurance.
 - 401(k) retirement savings plan with company match.
 - Paid time off and holidays to support work-life balance.
 - Opportunities for professional development and growth.
 
Conclusion
If you are a motivated and experienced Data Scientist looking to make a difference in the healthcare industry, we encourage you to apply for this exciting opportunity. With your expertise in real-world evidence and clinical trials analysis, you will play a critical role in shaping the future of healthcare and improving patient outcomes. Join our team of talented professionals and contribute to the development of innovative solutions that drive business results and improve lives.
Apply now and take the first step towards a rewarding and challenging career as a Data Scientist at Walgreens!
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