Opportunity in Clinical Pharmacology Modelling and Simulation at GlaxoSmithKline R&D in Shanghai, China

From: Peiming Ma Date: February 08, 2013 job Source: mail-archive.com
We would like to announce a position in the Clinical Pharmacology Modelling and Simulation (CPMS) group of GlaxoSmithKline (GSK) Research and Development (R&D) China. Established in 2007 as an end-to-end R&D centre, GSK China has enjoyed tremendous growth and built a strong R&D infrastructure and pipeline with main focus on neurological diseases. As a member of our global department, you have the opportunity to shape drug development programs by applying cutting-edge sciences and methodologies. The position is based in Shanghai, a dynamic and vibrant city. The following are the responsibilities and qualifications for the position. Please send your CV to [email protected]<mailto:[email protected]> if you are interested. Sincerely, Peiming Ma Responsibilities * Use clinical pharmacology (CP) principles and modelling & simulation (M&S) methods to support research and development decisions for compounds from pre-candidate selection through post-licensing stages (e.g. investigation of target mechanisms, design and dose selection of PK-PD studies, population PK-PD analysis, disease-progression modelling, simulation-assisted trial design, therapeutic dose recommendation). * Design 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 dialogues, and writing the relevant components of regulatory documents). * 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 preferably drug industry experience. * Experience in PK-PD modelling and simulation analysis, data interpretation, and report writing; proficiency in using modelling and simulation software such as R, Monolix, NONMEM, and WinNonlin, etc. * Excellent communication skills and drive to achieve results; ability to work independently and prioritize assignments with minimal supervision, and foster effective relationships with interdisciplinary teams for collaboration. * Good knowledge of life sciences, pharmacology, statistics, drug R&D processes and global/local regulatory requirements in pharmacology-related areas.