Manager, Observational Health Data Analytics - Raritan, NJ

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:
Raritan, 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 position will be based in Raritan, NJ.
 

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 real-world decision-makers, and objectively advancing the science and technology behind reliable, reproducible real-world analytics.
 

The OHDA team collaborates with GEO and the broader Johnson & Johnson organization generating and disseminating real-world evidence about disease, health service utilization, and the effects of medical products through the analysis of healthcare data.

OHDA collaborates with the broader international research community to establish and promote best practices in the appropriate use of observational data by conducting methodological research, developing standardized analytic tools, and demonstrating successful applications to important clinical questions.
 

Primary responsibilities:


* Work closely with colleagues within GEO.


* Contribute to the successful delivery of observational analyses for clinical characterization, population-level effect estimation, and patient-level prediction to meet the needs of Johnon & Johnson’s scientific and business functions.


* Contribute to the design of observational database analysis, including authoring protocol and analysis plans.


* Contribute to the execution of observational database analyses by using standardized analytical tools and writing statistical programs against in...