Senior Scientist, Pharmacometrics

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 jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Pharmacokinetics & Pharmacometrics

Job Category:

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium, High Wycombe, Buckinghamshire, United Kingdom, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

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   
 

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):
 

Belgium - Requisition Number: R-060352

United Kingdom - Requisition Number: R-061403
 

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.
 

We are searching for the best talent for a Senior Scientist, Pharmacometrics to be located in Spring Houser, PA; Raritan, NJ; Titusville, NJ; Beerse, Belgium; or High Wycombe, United Kingdom.
 

Purpose: The position is responsible to support the Pharmacometrics Leader (PML) or Clinical Pharmacology Leader (CPL) who is the modeling lead in development and execution of Pharmacokinetic/Pharmacodynamic (PK/PD) Modeling and Simulation activities related to the research, design, implementation, data analysis, interpretation, reporting, and publication of Clinical Pharmacology and Pharmacometrics (CPP) sponsored and -supported studies for products in any phase of development. The Pharmacometric (PM) support team is mainly passionate about data programming, data quality control (QC), analysis QC and e-submission related aspects.
 

You will be responsible for:

• Preparing R programming scripts to generate non-linear mixed effect modelling (NONMEM) analysis input dataset(s) for PK, PK/PD or Exposure Response analysis, based on requests from PM leader or Modeling leader. During dataset generation, PM support also modifies the variable definition file (PM leader or CPP leader is the main author of this document) which clearly defines each variable within this dataset with any additional information as they see fit. The NONMEM input dataset(s) created could be for interim or final analysis. The source used could be interim (uncleaned) or final Study Data Tabulation Model/Analysis Data Model (SDTM/ADAM) datasets or in sources in other formats, in some cases extensive data cleaning and complex calculations are needed.
   
• Generating Analysis Dataset Non-Compartmental Analysis (ADNCA) input datasets and associated metadata.
   
• Upon request, QC NONMEM or ADNCA input dataset(s) generated by another PM support colleague. Log which QC script is used, which subjects were checked per study, what other aspects were checked within the dataset, the findings of the QC and the follow-up actions of those findings in a QC document.
   
• Generating e-submission package for NONMEM (or other modelling type) anal