Senior Scientist, Preclinical Sciences & Translational Safety Translational Pharmacokinetics/Pharmacodynamics

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:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Pharmacokinetics & Pharmacometrics

Job Category:

Scientific/Technology

All Job Posting Locations:

San Diego, California, United States of America, Spring House, Pennsylvania, 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

We are searching for the best talent for a Senior Scientist, Preclinical Sciences & Translational Safety Translational Pharmacokinetics/Pharmacodynamics to be located in Spring House, PA or San Diego, CA.

Purpose: We are looking for a Translational PK/PD scientist to join our Translational Pharmacokinetics, Pharmacodynamics and Investigational Toxicology (TPPIT) group, part of Preclinical Sciences and Translational Safety (PSTS) organization. This position will be responsible for serving as a translational PK/PD representative on project teams, conducting mechanistic PK/PD studies and providing modeling and simulation support across multiple modalities (protein, ADC, synthetics, siRNA and cellular therapeutics), across multiple therapeutic areas. Using both experimental and computational tools, this individual will enable relevant forward and reverse translation for projects and platform efforts and support timely decision-making for programs across different stages of development.

You will be responsible for:

• Independently developing fit-for-purpose mathematical models (e.g., PK/PD, mechanism-based, QSP) to inform target selection, drug design, modality selection, candidate optimization and selection, and inform clinical study design (e.g., human PK/PD prediction, FIH dose selection, and efficacious dose projections) through identifying and addressing critical knowledge gaps.
   
• Determining and designing critical path experiments and delivering high quality results to effectively inform program decisions.
   
• Collaborating closely with biologists, chemists, protein engineers, toxicologists, bioanalytical scientists, clinical pharmacologists and clinicians to advance portfolio programs.
   
• Representing function in cross-functional project teams and communicating effectively to ensure scientific rigor.
   

Qualifications / Requirements:

Education:

• A minimum of a Bachelor's degree in Pharmaceutical Sciences, Clinical Pharmacology, Biological Sciences, Bioengineering, Chemical Engineering or Applied Mathematics is required. An advanced degree (Master's, PhD) is preferred.

Experience and Skills:

• At least 2 years of relevant experience (e.g., post-doc, industry) is required.
   
• Experience with quantitative approach in describing biological systems using preclinical and/or clinical data and demonstrated ability to use quantitative tools are required.
   
• Excellent communication skills and the ability to work independently and as a team member is required.
   
• Hands-on experiences in at least one of the modeling and simulation software (e.g., Monolix, NONMEM, Matlab, ADAPT5) is required.
   
• A strong publication record is preferred.
   

The anticipated base pay range for this position is $105,000 to $169,050.
 

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to a