Support a variety of Clinical Pharmacology activities, including tasks related to non-compartmental analysis (NCA), data visualization, table generation, quality control (QC) of results, and data curation.
Perform NCA to characterize the pharmacokinetics of drug candidates.
Interpret and report NCA results.
Create visualizations and tables to effectively communicate pharmacokinetic and pharmacodynamic data.
Ensure accuracy and clarity in data presentation.
Perform QC checks on analysis results to ensure data integrity and compliance.
Document QC processes and findings.
Modify large datasets to prepare for analysis and utilize tools such as R and Phoenix WNL.

A B.S. with 5+ years relevant work experience, a M.S. with 4+ years relevant work experience, or PhD with 2+ years relevant work experience.
Education: Pharmacokinetics, Pharmaceutical Sciences/Pharmacy, Biomedical Engineering, Bioinformatics, Data Sciences, Mathematics, or related STEM discipline.
Proficiency in using R for data manipulation, visualization, and basic statistical analyses is required.
Hands-on experience in performing NCA using Phoenix WinNonlin is preferred.
Experience or exposure with one or more of the following is desirable: NONMEM, Berkeley Madonna, Simcyp, Gastroplus, Matlab.
Exposure to working with and manipulating large datasets.

Manager, Clinical Pharmacology – Pharmacometrics

Key skills