Dear all,
We would like to announce a position in the Clinical Pharmacology Modelling=
and Simulation (CPMS) group of GlaxoSmithKline (GSK) in the Shanghai Resea=
rch and Development (R&D) site. This position has a focus on work with the =
department of China Medicine Development (CMD). The Shanghai R&D site, init=
iated in 2007, has enjoyed tremendous growth. As a member of our global dep=
artment, you have the opportunity to shape drug development programs in Chi=
na by applying cutting-edge sciences and methodologies.
The position is based in Shanghai, a dynamic and vibrant city. The followin=
g are the responsibilities and qualifications for the position.
If interested, please send your CV to: peiming.p.ma
p.ma
Sincerely,
Peiming Ma
Responsibilities
* Design clinical pharmacology (CP) strategies for drug projects; re=
present CPMS on the local project/study teams for all R&D activities (e.g.,=
planning and reporting of CP studies, health authority interactions, and p=
reparation of relevant components for regulatory submission).
* Use CP principles and quantitative skills to support decisions for=
compounds being developed in CMD department (e.g. dose selection of clinic=
al 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 particip=
ation of learning activities, scientific sharing, presentations and publica=
tions.
Qualifications
* A doctoral degree in PK or other quantitative sciences, and prefer=
ably drug industry experience.
* Excellent communication skills and drive to achieve results; fluen=
cy in English is required, and fluency in Chinese is a plus; ability to wor=
k independently and prioritize assignments with minimal supervision, and fo=
ster effective relationships with interdisciplinary teams for collaboration=
.
* Experience in PK-PD modelling and simulation analysis, data interp=
retation, and report writing; ample training/understanding/experience in us=
ing modelling and simulation software such as R, Monolix, NONMEM, and WinNo=
nlin, etc.
* Good knowledge of life sciences, pharmacology, statistics, drug R&=
D processes and global/local regulatory requirements in pharmacology-relate=
d areas.
Received on Tue Mar 04 2014 - 20:12:51 EST
