Data Scientist, RWE Clinical Trials

at Walgreens in DEERFIELD, Illinois, United States

Job Description

Job Description:

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 qualityassessments to inform investment decisions

+ Mine raw data sets to deliver standardized, analysis ready patient cohorts from in house dataassets or online licensed platforms, including generating hypotheses and analyzing data totest and interpret results standardized in close collaboration with the value and outcomesresearch and patient market access team and help shape the analytics strategy

+ Partners with other members of the Walgreens Clinical Trial team members to deliveractionable insights from real world, clinical and other data sources to supportbiopharmaceutical RWE and clinical trial requests. Potential efforts include analysis of unmetneeds safe and effective therapy in certain disease states, treatment patterns andhealth care economic burden data to support budget impact modelling and cost effectivenessmodeling

+ Cleans, transforms and stores data into an integrated data lake for future analysis andbroader team consumption

+ Performs data mining and statistical analysis to analyze RWERWD in order to find newinsights regarding patient populations and treatment outcomes

+ Supports the development of real world data, analytics and platform capabilities, applyingCutting edge advanced analytics methodologies and tools to address scientific questions frombiopharmaceutical companies

+ Collaborates on design and execution of outcomes research studies from a data science andanalytics perspective

+ Ensures high quality, rigorous and readily interpretable deliverables from RWEStudies 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”.

Job ID: 1424457BR

Title: Data Scientist, RWE Clinical Trials

Company Indicator: Walgreens

Employment Type:

Job Function: Marketing

Full Store Address: 108 WILMOT ROAD,DEERFIELD,IL 60015

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

External 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, Metabase 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

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