A night shot of Walgreens near the historic Chicago Theater.

Data Scientist, RWE Clinical Trials - Remote

Address: 108 WILMOT ROAD,DEERFIELD,IL,60015-05108-00001-Y

Job ID 1479406BR

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Job Summary:

The Data Scientist – RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to Director, Clinical Data Science

Job Responsibilities:

Conducts due diligence on new real world data providers vendors 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.
Partners 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.
Cleans, transforms and stores data into an integrated data lake for future analysis and broader team consumption
Performs data mining and statistical analysis to analyze to find new insights regarding patient populations and treatment outcomes
Supports 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
Collaborates on design and execution of outcomes research studies from a data science and analytics perspective
Ensures high quality, rigorous and readily interpretable deliverables from RWE Studies analyses
Builds dashboards, analytics and reports for internal and external consumption

About Walgreens and WBA

Walgreens (www.walgreens.com) is included in 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 heritage of caring for communities. WBA’s purpose is to create more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving nearly 10 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services, including those that drive equitable access to care for the nation’s medically underserved populations. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with fully integrated physical and digital platforms supported by the latest technology to deliver high-quality products and services in communities nationwide.
The actual salary an employee can expect to receive, plus bonus pursuant to the terms of any bonus plan if applicable, will depend on experience, seniority, geographic location, and other factors permitted by law. To review benefits, please visit jobs.walgreens.com/benefits.
"An Equal Opportunity Employer, including disability/veterans".

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Basic Qualifications

Bachelor’s Degree and at least 4 years of experience in quantitative or computational functions OR High School/GED and at least 7 years of experience in quantitative or computational or technical discipline
Bachelor's degree or graduate degree in a quantitative, computational or technical discipline
Analytics experience in R, Python, SQL.
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 techniques including generalized linear models, classification and discrimination, decision trees, unsupervised learning, time series analysis and survival analysis
Experience processing large data from various data sources
Experience handling of protected patient health information
Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools
Willing to travel up to 10% of the time for business purposes (within state and out of state).

Preferred Qualifications

PhD, Master’s degree in, statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering or related field
Expertise in EMR/Health IT, disease registries, and insurance claims databases
Expertise in clinical data standards, medical terminologies and controlled 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 studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
Experience working on alternative data sources and alternative methods of clinical data collection, especially those enabled by technology platforms and/or solutions.
Experience with experimental design, Bayesian modeling, sequential data, computational statistics
Understanding of statistics and machine learning methods, ability to continue self learning of technical and non technical skills
We will consider employment of qualified applicants with arrest and conviction records.