Join the Future of Healthcare: Walgreens is Seeking a Remote Data Scientist
Walgreens, a renowned American pharmaceutical retailer and a leader in the healthcare industry, is on a mission to revolutionize the way we approach health and wellness. With a rich history dating back to 1901, the company has grown to become one of the largest drug store chains in the United States, offering a wide range of products and services that cater to the diverse needs of its customers. As a pioneer in the industry, Walgreens is committed to harnessing the power of data science and technology to drive innovation and improve patient outcomes.
About the Role: Information Researcher - RWE
We are seeking a highly skilled and experienced Data Scientist to join our team as an Information Researcher - RWE (Real World Evidence). As a key member of our Scientific Affairs team, you will play a crucial role in producing high-quality RWE through advanced analysis and innovative methodologies in the clinical trials space. Your work will have a significant impact on internal and external decision-making, and you will have the opportunity to collaborate with cross-functional teams to drive business growth and improve patient care.
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 methodology.
- Collaborate with various 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 utilization.
- Perform data mining and statistical analysis to analyze RWE/RWD to uncover new insights into 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 the design and execution of outcomes research studies.
- Ensure high-quality, rigorous, and readily interpretable outputs from RWE studies and analyses.
- Build dashboards, analyses, and reports for internal and external use.
- Conduct a reasonable level of diligence on new real-world data suppliers/vendors and drive RWD quality assessments to inform investment decisions.
Essential Qualifications
To be successful in this role, you will need to possess the following essential qualifications:
- 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, clustering and partitioning, decision trees, unsupervised 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
While not mandatory, the following preferred qualifications will be considered a plus:
- PhD or graduate degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
- Proficiency 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 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 arrangements.
- Experience with experimental design, Bayesian modeling, sequential data, computational statistics.
- Understanding of statistics and machine learning techniques, ability to continue self-learning of technical and non-technical skills.
What We Offer
At Walgreens, we are committed to providing our employees with a comprehensive benefits package that supports their overall well-being and career growth. Some of the benefits you can expect include:
- 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 with employer matching contributions.
- Employee discounts on products and services sold in Walgreens stores.
- Opportunities for professional development and advancement within the company.
- Wellness programs designed to promote employee health.
- Flexible scheduling options, depending on your specific job role.
Why Join Walgreens?
By joining Walgreens, you will become part of a dynamic and innovative company that is shaping the future of healthcare. You will have the opportunity to work with a talented team of professionals who are passionate about improving patient outcomes and driving business growth. With a strong focus on data science and technology, Walgreens is committed to providing its employees with the tools and resources they need to succeed.
If you are a motivated and experienced Data Scientist looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity. As a remote Data Scientist at Walgreens, you will have the opportunity to work on complex and high-impact projects, collaborate with cross-functional teams, and drive business growth and innovation.
Take the Next Step
If you are ready to take your career to the next level and join a company that is shaping the future of healthcare, please submit your application today. We look forward to hearing from you!
Salary: $26/Hour
Location: Remote (Orlando, USA)
Employment Type: Full-time
Work Hours: 8 hours
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