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Job Function:

Discovery & Pre-Clinical/Clinical Development Job Sub Function:

Pharmacokinetics & Pharmacometrics Job Category:

Scientific/Technology All Job Posting Locations:

Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description:

We are searching for the best talent for our Principal Scientist Clinical Pharmacology & Pharmacometrics position, to be located in Raritan, NJ; Titusville, NJ; or Spring House, PA. 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

Purpose:

The Clinical Pharmacology (CP) Principal Scientist role within Clinical Pharmacology & Pharmacometrics (CPP) is to apply and promote clinical pharmacology expertise including the design of clinical pharmacology studies and/or clinical pharmacology components of clinical studies, pharmacokinetics (PK), pharmacodynamics (PD) analysis and reporting, and application of model-informed drug development (MIDD) principles across all stages of drug development. The Principal Scientist CP Leader develops compound-specific Clinical Pharmacology strategies for supported programs, including interactions with regulatory agencies, and serves as the CP Leader on cross-functional compound teams and within CPP (e.g., Pharmacometrics). The Principal Scientist independently leads the day-to-day clinical pharmacology activities for programs within the Portfolio and Lifecycle Management (PALM) organization, focused on established brands and post-approval development opportunities.

You will be responsible for:

• Devising the clinical pharmacology and model informed drug development strategy via application of quantitative methods to integrate knowledge of nonclinical data (e.g., metabolism, B...