Req Number: 1631 Title: PK Biometrician/Pharmacometrician Division: Development Location: Tarrytown, N.Y. Description: Position Description:
Develops of novel pharmacometric, statistical, and mathematical models; applies these and existing models to solve complex scientific statistical and pharmacokinetic and pharmacodynamic problems related to preclinical and/or clinical development, as well as, manufacturing and research. Essential Functions of the Job (Major Duties and Responsibilities): -Provides consultative pharmacometric and statistical support to scientists. -Develops pharmacometric including population PK/PD models -Analyzes and interprets PK/PD data; Generates tables and listings. Creates derived PK/PD files according to standard specifications. -Writes PK/PD sections of clinical study protocol, statistical analysis plans, clinical study reports, regulatory documents and publications. Provides input for standard operation procedures and best practices. -Assists in training of fellow scientists and statisticians in pharmacometric methods and use of PK/PD software investigating theoretical problems arising out of research. Required Skills: -Knowledge of statistics including nonlinear mixed effort model and Monte-Carlo simulation, SAS including IML, tabulate and Gplot procedures, differential equations and basic or advanced pharmacokinetics. -Good working knowledge of SAS (Base, Stat, IML, Macro, Graph) programming is required. Knowledge of R/S-Plus graphics is a plus. -Knowledge of basic genetics and microarray data analysis is a plus. -Excellent writing and communication skills; includes presentations to internal scientific and managerial review meetings and to regulatory agencies. -Knowledge of Winnonlin and NONMEM are highly desirable skills for this position. Experience: Education and Experience: -Masters Degree or Ph.D. in statistics, engineering math, computational biology, pharmacy, physics, and/or relavent fiellds is required. -One to three (1-3)years of experience. EOE/M/F/D/V Note: Statistical/scientific SAS programmers who want to grow and have strong quantitative backgrounds (engineering, physics, math) may also be considered. Contact: [email protected]
