Job Information
Boston Scientific Senior Real World Data Analyst in Maple Grove, Minnesota
Additional Location(s):US-MN-Maple Grove; US-CT-Danbury/Bridgeport; US-CT-Hartford; US-CT-New Haven; US-CT-Southeast/New London; US-CT-Stamford; US-DC-Washington; US-DE-Delaware; US-FL-Daytona; US-FL-Ft. Lauderdale; US-FL-Ft. 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With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. * Open to hiring candidates for hybrid and remote locations * About the role : As a member of the Clinical Evidence Evaluation team, you will leverage your programming skills and expertise in claims and electronic health record (EHR) data to conduct timely and relevant analyses of real-world data sets across interventional cardiology and structural heart franchises. Your analyses will yield insights into post-market safety and performance across a diverse range of products. Additionally, you'll contribute to broader clinical trial and business needs by assessing product utilization and target populations. Part of your role will involve exploring new claims and EHR data sources. Your responsibilities will include: Data analysis of medical coding and clinical real-world evidence to assess medical device product safety and performance, product utilization, and target populations. Utilizing technical expertise regarding relational database, data models, database design development, data mining, and segmentation techniques programming languages (SQL, Python, R, SAS)to assess real world data. Applying new methods for advanced analyses, create, monitor, review, and improve methods and techniques continuously. Ensuring quality and replicability (i.e., through appropriate documentation and validation) of results Collaborating with cross-functional colleagues to inform strategic activities related to clinical real-world evidence. Demonstrate analytical experience utilizing large data sets to draw conclusions about product-related assessments, with the ability to collect, organize, and analyze, significant amounts of information with attention to detail and accuracy. Required qualifications: Minimum of Bachelor's or Master's degree in data science, public health, health economics, epidemiology, biostatistics, health care administration or related discipline Minimum of 2 years of experience in extracting, organizing, and analyzing data from claims databases, electronic medical records, or registries using SAS, Python, Spark and/or R Detail-oriented professional with a can-do attitude, focused on precision, accuracy, continuous learning, and skill development. Demonstrated responsiveness and sense of urgency when pursuing goals and completing tasks Demonstrated ability to set and manage priorities, manage multiple projects, and meet deadlines Prior experience with quantitative validation of phenotype definitions in RWD and the coding vocabularies (e.g., ICD, CPT) used to define variables in RWD Preferred qualifications: Familiarity with interventional cardiology / structural heart procedures and products Requisition ID:581701 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn't just business, it's personal. And if you're a natural problem-solver with the imagination, determination, and spirit to make a... For full info follow application link. Boston Scientific is an Equal Opportunity Employer Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Disability, Veteran