Manager, Observational Health Data Analytics

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Epidemiology

Job Category:
Scientific/Technology

All Job Posting Locations:
Cambridge, Massachusetts, United States of America, Horsham, Pennsylvania, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.

Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
 

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
 

Learn more at https://www.jnj.com/innovative-medicine
 

Johnson & Johnson Innovative Medicine is recruiting for a Manager, Observational Health Data Analytics position in the Global Epidemiology Organization (GEO).

 This is a Hybrid role available in multiple cities/states within the United States of America.

While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application.

We invite candidates from various locations to apply and encourage you to review the following locations where this opportunity is available:
 

Raritan, NJ

Titusville, NJ

Spring House, PA

Horsham, PA

Cambridge, MA

San Diego, CA

Additional available hybrid locations include:
 

Basel, Switzerland

Beerse, Belgium
 

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements.

While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):
 

United States of America - Requisition Number: R-015652

Switzerland - Requisition Number: R-016763

Belgium - Requisition Number: R-016766

This position is a member of the Observational Health Data Analytics (OHDA) team within GEO.

OHDA’s mission is to improve the lives of individuals and quality of healthcare by efficiently generating real-world evidence from the world’s observational health data, transparently disseminating evidence-based insights to r...