Join the Walgreens Team as a Data Scientist and Make a Difference in Healthcare
Walgreens, a leading American pharmaceutical retailer, is seeking an experienced Data Scientist to join our team on a part-time, remote basis. As a key member of our Clinical Information Science team, you will have the opportunity to work on cutting-edge projects, driving business decisions through innovative data science and technology. If you're passionate about using data to improve patient outcomes and are looking for a challenging and rewarding role, we encourage you to apply.
About Walgreens and Our Culture
Founded in 1901 in Chicago, Illinois, Walgreens has grown to become one of the largest drug store chains in the United States. We offer a wide range of products and services, including prescription drugs, over-the-counter medications, health and wellness products, beauty products, and more. Our company culture is built on a foundation of integrity, respect, and innovation, and we're committed to providing exceptional customer experiences.
Job Summary
As a Data Scientist - Real World Evidence (RWE) at Walgreens, you will be responsible for creating genuine proof (RWE) through advanced analysis and innovative methodologies in the clinical trials space. You will lead sophisticated data analyses to address critical business questions, working closely with cross-functional teams to deliver meaningful insights from real-world data. This role reports to the Chief, Clinical Information Science, and offers a unique opportunity to impact internal and external decision-making through the application of creative data science and technology.
Key Responsibilities
- Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data assets or licensed platforms, analyze and interpret results, and help shape investigation strategies.
- Collaborate with various members of the Walgreens Clinical Trials team to deliver significant insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial submissions.
- Clean, transform, and store data into a coordinated data lake for future analysis and broader team utilization.
- Perform data mining and statistical analysis to analyze RWE/RWD and 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 inquiries from biopharmaceutical companies.
- Contribute to the design and execution of outcomes research studies.
- Ensure high-quality, thorough, and promptly interpretable deliverables from RWE reviews and analyses.
- Develop dashboards, analytics, and reports for internal and external use.
- Conduct due diligence on new real-world data suppliers and vendors, driving 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 effective 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 separation, decision trees, solo learning, time series analysis, and survival analysis.
- Experience handling large datasets from various 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
- Mastery in EMR/Health IT, disease libraries, and insurance claims databases.
- Aptitude in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
- Experience in Good Clinical Practice (GCP) and 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 solutions.
- Experience with trial design, Bayesian modeling, sequential data, and computational statistics.
- Comprehension of statistical and machine learning methods, with the ability to continue self-learning of technical and non-technical skills.
Career Growth Opportunities and Learning Benefits
At Walgreens, we're committed to providing our employees with opportunities for professional growth and development. As a Data Scientist, you will have access to training programs, skills development initiatives, and the opportunity to move up the corporate ladder. We're also dedicated to promoting a culture of innovation, encouraging our employees to think creatively and develop new solutions to complex problems.
Work Environment and Company Culture Highlights
As a remote part-time employee, you will have the flexibility to work from home and set your own schedule. We're a company that values work-life balance and offers a range of benefits to support our employees' well-being. Some of the highlights of our company culture include:
- Flexible scheduling options to meet different employee needs.
- Opportunities for professional development and advancement.
- A culture of innovation and creativity.
- A commitment to promoting diversity, equity, and inclusion.
Compensation, Perks, and Benefits
We offer a competitive salary of $27/hour, as well as a range of benefits to support our employees' well-being. Some of the benefits we offer 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, such as 401(k) plans.
- Employee discounts on products and services.
- Wellness programs designed to promote employee health.
Conclusion
If you're a motivated and experienced Data Scientist looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at Walgreens. As a Data Scientist - Real World Evidence (RWE), you will have the chance to make a real difference in healthcare, driving business decisions through innovative data science and technology. Don't miss out on this chance to join our team and take your career to the next level.
Apply now and start your journey with Walgreens!
Apply Now