Senior Real World Data Analyst
Maple Grove, MN, US, 55311
Boston Scientific
Boston Scientific is dedicated to transforming lives through innovative medical solutions that improve the health of patients around the world.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. Myers/Naples; US-FL-Gainesville/Ocala; US-FL-Jacksonville; US-FL-Melbourne; US-FL-Miami; US-FL-Orlando; US-FL-Pensacola/Panama City; US-FL-St. Petersburg; US-FL-Tallahassee; US-FL-Tampa; US-FL-West Palm Beach; US-GA-Alpharetta; US-GA-Atlanta; US-GA-Central/Augusta; US-GA-Macon; US-GA-Savannah; US-GA-Southwest; US-HI-Hawaii; US-IA-Cedar Rapids; US-IA-Central/Des Moines; US-IA-Davenport; US-IA-Western/Sioux City; US-ID-Boise; US-ID-Idaho Falls/Pocatello; US-ID-Northern; US-ID-Twin Falls; US-IL-Bloomington/Peoria; US-IL-Chicago; US-IL-Quincy; US-IL-Rockford; US-IL-Southern; US-IL-Springfield/Champaign; US-IN-Bloomington; US-IN-Evansville; US-IN-Fort Wayne; US-IN-Gary/Merrillville; US-IN-Indianapolis; US-IN-Lafayette; US-IN-South Bend; US-IN-Spencer; US-IN-Terre Haute; US-KS-Kansas City; US-KS-Overland Park; US-KS-Topeka/Manhattan; US-KS-Wichita Western; US-KY-Bowling Green/Paducah; US-KY-Lexington; US-KY-Louisville; US-LA-Alexandria; US-LA-Baton Rouge; US-LA-Lafayette/Lake Charles; US-LA-New Orleans; US-LA-Northern; US-LA-Shreveport; US-MA-Bedford; US-MA-Boston; US-MA-Burlington; US-MA-Cambridge; US-MA-Lexington; US-MA-Lowell; US-MA-Marlborough; US-MA-Natick; US-MA-Quincy; US-MA-Western/Springfield; US-MA-Worcester; US-MD-Baltimore; US-MD-Columbia; US-MD-Hunt Valley; US-MD-Montgomery County; US-MD-Rockville; US-MD-Salisbury; US-ME-Central/Augusta; US-ME-Northern/Bangor; US-ME-Southern/Portland; US-MI-Ann Arbor; US-MI-Detroit; US-MI-Flint/Saginaw; US-MI-Grand Rapids; US-MI-Kalamazoo; US-MI-Lansing; US-MI-Northern; US-MN-Arden Hills; US-MN-Mankato/Rochester; US-MN-Minneapolis; US-MN-Minnetonka; US-MN-Northern/Duluth; US-MN-Plymouth; US-MO-Jefferson City; US-MO-Kansas City/Independence; US-MO-Northeastern; US-MO-Quincy; US-MO-Southeastern; US-MO-Springfield/Joplin; US-MO-St. Louis; US-MT-Eastern/Billings; US-MT-Great Falls; US-MT-Helena/Butte; US-MT-Western/Missoula; US-NC-Charlotte; US-NC-Eastern/Greenville; US-NC-Greensboro; US-NC-Raleigh/Durham; US-NC-Western/Asheville; US-NC-Wilmington/Fayetteville; US-NC-Winston Salem; US-ND-Central; US-ND-Eastern; US-ND-Valley City; US-ND-Western; US-NE-Lincoln; US-NE-Omaha; US-NE-West/North Platte; US-NH-Northern; US-NH-Southern; US-NJ-Central; US-NJ-Northern; US-NJ-Southern; US-NM-Albuquerque; US-NM-Santa Fe; US-NV-Las Vegas; US-NV-Reno; US-OH-Akron; US-OH-Cincinnati; US-OH-Cleveland; US-OH-Columbus/Zanesville; US-OH-Dayton; US-OH-Northwest; US-OH-Toledo; US-OH-Youngstown; US-OK-Central-Oklahoma City; US-OK-Eastern/Tulsa; US-PA-Allentown; US-PA-Altoona; US-PA-Erie; US-PA-Harrisburg; US-PA-Philadelphia; US-PA-Pittsburgh; US-PA-State College; US-PA-Wilkes Barre; US-PA-York/Lancaster; US-RI-Coventry; US-RI-Providence; US-SC-Columbia; US-SC-Florence/Myrtle Beach; US-SC-Greenville/Spartanburg; US-SC-South/Charleston; US-SD-East/Sioux Falls; US-SD-West/Rapid City; US-TN-Chattanooga; US-TN-Jackson; US-TN-Knoxville; US-TN-Memphis; US-TN-Nashville; US-TX-Abilene/Odessa; US-TX-Amarillo/Lubbock; US-TX-Austin; US-TX-Dallas; US-TX-East/Tyler/Beaumont; US-TX-El Paso; US-TX-Fort Worth; US-TX-Houston; US-TX-San Antonio; US-TX-South/Corpus Christi; US-TX-Waco; US-TX-Wichita Falls; US-VA-Alexandria; US-VA-Charlottesville/Harrisonburg; US-VA-Fairfax; US-VA-McLean/Arlington; US-VA-Norfolk/Hampton Roads; US-VA-Northern; US-VA-Richmond; US-VA-Roanoke; US-VA-Vienna; US-WA-Bellevue/Redmond; US-WA-Central/Yakima; US-WA-Eastern/Spokane; US-WA-Seattle; US-WA-Tacoma/Olympia; US-WI-Eau Claire/LaCrosse; US-WI-Green Bay/Appleton; US-WI-Madison; US-WI-Milwaukee; US-WI-Northern; US-WV-Northern; US-WV-Southern; US-WY-Casper; US-WY-Cheyenne
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance
At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. 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 meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!
At Boston Scientific, we recognize that nurturing a diverse and inclusive workplace helps us be more innovative and it is important in our work of advancing science for life and improving patient health. That is why we stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve. Boston Scientific is proud to be an equal opportunity and affirmative action employer.
Boston Scientific maintains a prohibited substance free workplace. Pursuant to Va. Code § 2.2-4312 (2000), Boston Scientific is providing notification that the unlawful manufacture, sale, distribution, dispensation, possession, or use of a controlled substance or marijuana is prohibited in the workplace and that violations will result in disciplinary action up to and including termination.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: ANN Biostatistics Data analysis Data Mining Economics Python R RDBMS SAS Spark SQL
Perks/benefits: Career development
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