Experienced Full Stack Data Scientist – Clinical Research and Evidence Generation

About Us

Walgreens is a well-established American pharmaceutical retailer and company, founded in 1901 in Chicago, Illinois. With a rich history of growth and expansion, Walgreens has become one of the largest drug store chains in the United States. Our company offers a diverse range of products and services, including prescription drugs, over-the-counter drugs, health and wellness products, beauty products, photo shoots, and more. At Walgreens, we are committed to providing exceptional customer service and promoting healthy lifestyles through our various offerings.

About the Role

We are seeking an experienced Full Stack Data Scientist to join our Clinical Research and Evidence Generation team. As a key member of our team, you will be responsible for producing high-quality, certifiable evidence through cutting-edge research and innovative methodologies in the clinical trials space. Your expertise in data science and technology will enable you to drive business growth and inform strategic decisions through data-driven insights.

Key Responsibilities

• Mine crude information datasets to convey normalized, analysis-ready patient companions from in-house information resources or authorized stages, analyze and interpret results, and help shape investigation methodology.
• Collaborate with other members of the Walgreens Clinical Trials team to convey meaningful insights from real-world, clinical, and other information sources to support biopharmaceutical RWE and clinical trial requests. Potential endeavors include examination of neglected needs, safe and effective treatment in specific disease states, treatment patterns, and healthcare financial burden, and cost-effectiveness modeling.
• Clean, transform, and store information into an integrated data lake for future analysis and broader team utilization.
• Perform information mining and statistical analysis to analyze RWE/RWD to discover new insights regarding patient populations and treatment results.
• Support the development of real-world evidence, investigation, and stage capabilities, applying advanced analysis and tools to resolve logical inquiries from biopharmaceutical organizations.
• Work together on plan and execution of results research studies.
• Ensure high-quality, thorough, and interpretable expectations from RWE review and investigations.
• Construct dashboards, analysis, and reports for internal and external use.
• Conduct a reasonable level of effort on new certifiable information suppliers sellers and drive RWD quality evaluations to inform project decisions.

Essential Capabilities

To succeed in this role, you will need to possess the following essential capabilities:

• Experience in planning and executing robust and reproducible statistical analyses regarding the study of disease transmission and observational research with healthcare information.
• Knowledge of standard statistical testing methods including generalized linear models, clustering and segmentation, decision trees, unsupervised learning, time series analysis, and survival analysis.
• Experience handling large datasets from various information sources.
• Experience managing protected patient health information.
• Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI insight tools.

Favored Capabilities

While not essential, the following favored capabilities will be highly valued:

• PhD, Graduate degree in statistics/biostatistics, software engineering, mathematics, systems engineering, biomedical engineering, or related field.
• Skill in EMR/Health IT, disease registries, and insurance claims datasets.
• Ability in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare information and ontologies (ICD9/10/ReadCode).
• Experience in Good Clinical Practice (GCP) as well as regulatory compliance rules for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
• Experience working on alternative information sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and solutions.
• Experience with exploratory design, Bayesian modeling, sequential data, computational statistics.
• Understanding of statistics and AI techniques, ability to continue self-learning of technical and non-technical skills.

About Our Benefits

At Walgreens, we are committed to providing our employees with a comprehensive benefits package that supports their physical, emotional, and financial well-being. Our benefits may vary based on factors such as the employee's position, location, and length of service. Some common benefits that our employees can access include:

• Health Care Benefits: We generally offer health care benefits such as medical, dental, and vision insurance to eligible employees. These benefits can help cover medical bills and provide access to necessary health services.
• Prescription Drug Discounts: As a pharmaceutical retailer, we offer discounts on prescription drugs and over-the-counter drugs when filling prescriptions at Walgreens pharmacies.
• Employee Assistance Program (EAP): Many companies, including Walgreens, offer EAPs that provide confidential counseling and support services to employees and their families. These programs can help with a range of work and personal challenges.
• Paid Time Off: We generally provide paid time off for holidays, vacations, and sick days. The amount of free time can vary based on factors such as job title and seniority.
• Retirement Plans: We typically offer retirement savings plans, such as 401(K) plans, to help employees save for retirement. Some plans may include matching employer contributions.
• Employee Discounts: Employees often receive discounts on products and services sold in Walgreens stores. This could include discounts on over-the-counter medications, beauty products, and more.
• Professional Development: We may offer opportunities for professional development and advancement within the company. This could include training programs, skills development initiatives, and the opportunity to move up the corporate ladder.
• Wellness Programs: As a healthcare-focused company, we may offer wellness programs designed to promote employee health. These programs can include fitness challenges, health screenings, and wellness resources.
• Flexible Scheduling: Depending on your specific job role, we may offer flexible scheduling options to meet different employee needs.

How to Apply

If you are a motivated and experienced data scientist looking to join a dynamic team, please apply for this exciting opportunity. We look forward to reviewing your application and discussing this role further.