Postdoctoral Scientist Real World Evidence (RWE)

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:
Career Programs

Job Sub Function:
Post Doc – Data Analytics & Computational Sciences

Job Category:
Career Program

All Job Posting Locations:
Cambridge, Massachusetts, 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:

Johnson & Johnson Innovative Medicine is recruiting for Postdoctoral Scientist, R&D Data Science and Digital Health, Real-World Evidence (RWE) Oncology

 

About Innovative Medicine

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

The Real-World Evidence (RWE) Oncology team within Johnson and Johnson Innovative Medicines is looking for outstanding postdoctoral scientist whose responsibilities include:


* Analyze observational databases and historical trial data to generate real-world insight to support regulatory agency interactions



* Develop study protocols, statistical analysis plans, and programming specifications.

Deliver high-quality outputs including analysis-ready datasets, tables and figures.


* Perform comprehensive reviews of scientific literature to contextualize findings and support study design and interpretation.



* Communicate research findings effectively through technical reports, presentations, and contributions to peer-reviewed publications

Required qualifications:


* A Ph.D.

degree in epidemiology or biostatistics


* Expert coding skills using R


* Strong expertise in conducting epidemiological research including research questions, designing studies, conducting analyses, and interpreting results


* Hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases


* Excellent interpersonal, communication and presentation skills

 

Preferred qualifications:


* Experience with real-world data sources (EHR, insurance claims, registry data)


* Familiarity with clinical trial design and data structure


* Subject matter knowledge in o...