Introduction to Walgreens and the Role
Walgreens, a leading healthcare, pharmacy, and retail company with a 170-year history of caring for communities, is seeking an experienced Data Scientist to join its team. As a Data Scientist – Real-World Evidence (RWE), you will play a crucial role in producing RWE via superior analytics and progressive processes inside the medical trials space. You will be part of the Scientific Affairs group and will have the opportunity to work on state-of-the-art data analysis to assist in addressing critical business questions. This position reports to the Director, Clinical Data Science.
Job Responsibilities
In this role, you will be responsible for:
- Conducting advanced data analysis to produce standardized, evaluation-ready patient cohorts from in-house data assets or certified systems
- Examining and interpreting results, and assisting in shaping analytics strategy
- Partnering with other members of the Walgreens Clinical Trial team to provide actionable 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 consumption
- Performing data mining and statistical analysis to investigate RWE/RWD and locate new insights concerning patient populations and treatment outcomes
- Supporting the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address clinical questions from biopharmaceutical companies
- Collaborating on the design and execution of outcomes research studies
- Ensuring high-quality, rigorous, and interpretable deliverables from RWE research and analyses
- Building dashboards, analytics, and reports for internal and external consumption
- Conducting due diligence on new real-world data vendors and powering RWD quality tests to inform investment decisions
About Walgreens and WBA
Walgreens (www.walgreens.com) is part of the U.S. Retail Pharmacy and U.S. Healthcare segments of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy, and retail leader with a 170-year history of caring for communities. WBA's purpose is to create more happy lives through better health. Operating nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, Walgreens is proud to be a community health destination serving almost 10 million customers every day.
Essential Qualifications
To be successful in this role, you will need:
- A Bachelor's degree or graduate degree and a minimum of 4 years of experience in a quantitative or computational role
- 4 years of experience in R, Python, or SQL
- Experience in designing and executing strong and reproducible statistical analyses in the context of epidemiology and observational studies with healthcare data
- Knowledge of common statistical testing methods, including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis, and survival analysis
- Experience processing large data from diverse 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 Ph.D. 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
- Expertise in clinical data standards, clinical terminologies, and managed vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
- Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence research or clinical trials (e.g., ISO, MDD/MDR, CFR)
- Experience working on alternative data sources and alternative methods of clinical data collection, particularly those enabled by technology systems and/or solutions
- Experience with experimental design, Bayesian modeling, sequential data, computational statistics
- Understanding of machine learning and systems learning techniques, ability to maintain self-learning of technical and non-technical skills
Skills and Competencies
To succeed in this role, you will need to possess:
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and prioritize multiple tasks
- Strong attention to detail and ability to maintain high-quality work
- Ability to learn and adapt to new technologies and systems
Career Growth Opportunities and Learning Benefits
At Walgreens, we are committed to helping our employees grow and develop in their careers. As a Data Scientist, you will have the opportunity to:
- Work on complex and challenging projects that impact the business
- Collaborate with experienced professionals in the field
- Develop and improve your skills in data analysis, machine learning, and statistical modeling
- Stay up-to-date with the latest technologies and trends in the industry
Work Environment and Company Culture
At Walgreens, we pride ourselves on our company culture, which is built on the values of:
- Caring for our customers and patients
- Respecting and valuing our employees
- Embracing diversity and inclusion
- Striving for excellence in everything we do
We offer a dynamic and supportive work environment that encourages collaboration, innovation, and growth.
Compensation, Perks, and Benefits
We offer a competitive salary range of $26-35 per hour, as well as a comprehensive benefits package that includes:
- Company-paid life insurance
- Medical, prescription drugs, dental, and vision coverage
- Retirement savings plan – 401(k)
- Employee stock purchase plan
- Paid time off (PTO)
- Holidays
- Paid parental leave (PPL)
- Transportation benefit plan
- Employee store discount
- Voluntary life and personal accident insurance
Conclusion
If you are a motivated and experienced Data Scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity. As a Data Scientist at Walgreens, you will have the chance to work on complex and impactful projects, collaborate with experienced professionals, and develop your skills in data analysis, machine learning, and statistical modeling. Don't miss out on this opportunity to join our team and contribute to the success of our company. Apply now and take the first step towards a rewarding and challenging career with Walgreens!
Apply Now