Postdoc Fellow: Quantitative PK/Pharmacometrics

MSD; Rahway, Northern (NJ, KY); Hybrid; USD 82.000 - 92.000; Vollzeit

Benefits dieser Stelle

Annual bonus

Long-term incentive

Comprehensive benefits

Zusammenfassung

Merck & Co., Inc., Rahway, NJ, USA invites applications for an Associate Scientist, Post Doc Fellow in Quantitative Pharmacology and Pharmacometrics. The role focuses on developing quantitative pharmacology models to support pediatric exposure prediction and dose selection, integrating nonclinical and clinical data across populations.

The candidate will work within a collaborative team including preclinical ADME, translational PK/PD, and discovery biology, and will present findings at

Qualifikationen

• Must currently hold a Ph.D. or have received one by Spring 2027.
• Experience with pharmacokinetic modeling (e.g., population PK, PBPK).
• Proficiency in at least one programming language or pharmacometrics application (R, MATLAB, Python, NONMEM, Monolix, Phoenix WinNonlin).
• Demonstrated scientific writing with publications or preprints.

Aufgaben

• Review nonclinical and clinical PK data from published and internal sources.
• Integrate data from multiple sources to support model development and application.
• Develop and qualify PK and translational models for pediatric drug development.
• Evaluate model performance and uncertainty; translate results for multidisciplinary teams.
• Present research at conferences and publish in peer‑reviewed journals.

Kenntnisse

Pharmacokinetic modeling

Programming languages

Scientific writing

Data analysis

Ausbildung

Ph.D. in quantitative pharmacology or related field

Tools

NONMEM

Monolix

Phoenix WinNonlin

R

Python

MATLAB

Jobbeschreibung

Merck & Co., Inc., Rahway, NJ, USA invites applications for an Associate Scientist, Post Doc Fellow in Quantitative Pharmacology and Pharmacometrics. The role focuses on developing quantitative pharmacology models to support pediatric exposure prediction and dose selection, integrating nonclinical and clinical data across populations.

The candidate will work within a collaborative team including preclinical ADME, translational PK/PD, and discovery biology, and will present findings at