Advanced Analytics Expert
2 days ago
Company Overview
Walgreens, a leading healthcare and retail company, has been caring for communities for generations. With over 9 million customers and patients served daily across its approximately 8,500 stores, Walgreens is committed to being the first choice for retail pharmacy and health services.
About the Role
We are seeking an Advanced Analytics Expert to join our Clinical Trials team. As a key member of our Scientific Affairs team, you will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space.
Salary
The estimated annual salary for this position is $115,000-$155,000, depending on experience and qualifications.
Job Description
Clinical Data Science Expertise
- Conduct due diligence on new real-world data providers and drive RWD quality assessments to inform investment decisions
- Mine raw data sets to deliver standardized, analysis-ready patient cohorts from in-house data assets or online licensed platforms
- Partner with other members of the Walgreens Clinical Trial team to deliver actionable 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 consumption
- Perform data mining and statistical analysis to analyze patient populations and treatment outcomes
- Support the development of real-world data, analytics, and platform capabilities, applying cutting-edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companies
- Collaborate on design and execution of outcomes research studies from a data science and analytics perspective
- Ensure high-quality, rigorous, and readily interpretable deliverables from RWE studies analyses
- Build dashboards, analytics, and reports for internal and external consumption
Requirements
To succeed in this role, you should have:
- Bachelor's degree in a quantitative or computational field, such as statistics, computer science, mathematics, systems engineering, biomedical engineering, or related field
- At least 4 years of experience in quantitative or computational functions, or at least 7 years of experience in technical disciplines
- Analytics experience in R, Python, SQL
- Experience designing and executing robust and reproducible statistical analyses in epidemiology and observational research with healthcare data
- Knowledge of common statistical testing techniques, including generalized linear models, classification, decision trees, unsupervised learning, time series analysis, and survival analysis
- Experience processing large data from various data sources
- Experience handling protected patient health information
- Knowledge of at least one business intelligence tool, such as Tableau, Power BI, Alteryx, Spotfire, or similar
Preferred Qualifications
Pursuing a PhD or Master's degree in a relevant field can be beneficial, especially in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or related fields. Additional expertise in EMR/Health IT, disease registries, insurance claims databases, clinical data standards, medical terminologies, controlled vocabularies used in healthcare data, ontologies (ICD9/10/ReadCode), Good Clinical Practice (GCP), regulatory compliance guidelines, experimental design, Bayesian modeling, sequential data, computational statistics can enhance your application.
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