Dear all, We would like to announce a senior-level position in the Clinical Pharmacology Modelling and Simulation (CPMS) group of GlaxoSmithKline (GSK) in China. This position has a focus on work with the department of China Medicine Development (CMD), based in Shanghai. The GSK Shanghai site, initiated in 2007, has enjoyed tremendous growth. As a member of our global CPMS department, you have the opportunity to shape drug development programs in China by applying cutting-edge sciences and methodologies.
The position is based in either Shanghai or Beijing. The following are the responsibilities and qualifications for the position. If interested, please send your CV to: [email protected]<mailto:[email protected]>. Sincerely, Peiming Ma GSK Senior/Principal scientist Responsibilities * Design clinical pharmacology (CP) strategies for drug projects; represent CPMS on the local project/study teams for all R&D activities (e.g., planning and reporting of CP studies, health authority interactions, and preparation of relevant components for regulatory submission including IND and NDA documents). * Use CP principles and quantitative skills to support decisions for compounds being developed in CMD department (e.g. dose selection of clinical studies, design of PK/PK-PD studies and of CP parts in other studies, PK and PK-PD data analyses, study report writing). * Effectively represent the CPMS department on internal teams and to external groups; contribute to CPMS global department science via participation of learning activities, scientific sharing, presentations and publications. Qualifications * A doctoral degree in PK or other quantitative sciences, and minimum of 2 years of drug industry experience. * Excellent communication skills and drive to achieve results; fluency in English is required, and fluency in Chinese is a plus; ability to work independently and prioritize assignments, and foster effective relationships with interdisciplinary teams for collaboration. * Experience in PK-PD modelling and simulation analysis, data interpretation, and report writing; ample training, understanding, and experience in using modelling and simulation software such as R, Monolix, NONMEM, and WinNonlin, etc. * Good knowledge of life sciences, pharmacology, statistics, clinical trial design, drug R&D processes and global/local regulatory requirements.
