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Research / Senior Scientist ((modelling of physiological and biological systems and parameter estimation) - Certar a UK, Simcyp Division

From: Masoud Jamei <masoud.jamei>
Date: Sun, 12 May 2019 11:29:50 +0100

Dear All


We have an immediate opening for a highly motivated research / senior
scientist with good working knowledge of developing multi-dimensional
mathematical modelling of physiological and biological systems and parameter
estimation algorithms established upon robust statistical framework for high
order models. The successful candidate will assist with the development of
models and algorithms for defining systems pharmacology/biology models
concerning safety and efficacy of small and large molecules within Simcyp
Simulators. Candidates should have experience of applied mathematics,
biostatistics and data analysis. Ideally, this should be in
pharmacokinetics-, toxicokinetics- and/or pharmacodynamics- related areas.
In particular, candidates should have hand-on experience in development of
optimisation algorithms and capable of dealing with complex numerical
problems including non-linear mixed effect models. The successful candidate
is expected to keep abreast of the latest scientific developments and
actively engage with peers and clients within industry, academia and
regulatory agencies.


The successful candidate will join an internationally recognised,
multidisciplinary research team, providing opportunities for further
development of knowledge and skills. The candidate will undertake novel
research projects to further expand the capabilities of the Simcyp
Simulators, which require a high level of attention to detail, good oral and
written communication skills, and the ability to liaise effectively with the
software developers. Further, the candidate is expected to provide on-going
customer support and education related to the use of the Simulators and to
act as tutor on the Company's well-known educational workshops. The post
does not include routine laboratory or clinical work.


We offer a unique and exciting mix of academic and commercial environments
which encourage regular attendance at scientific meetings as part of our
continuous education programmes.





. PhD in pharmaceutical sciences, computational biology, applied
mathematics, bioengineering, control or chemical engineering or related
fields with at least two years of practical experience.

. In-depth understanding and hands-on experience in modelling and
simulation principles, statistical data analysis and optimisation algorithms

. Good working knowledge of common or specialised modelling and
simulation platforms, such as Matlab, R, Phoenix, Simcyp, etc

. Proven track record of publications in high impact factor journals

. Excellent record of communication skills, as evident by
presentation at scientific meetings, and good interpersonal and
organizational skills



. Working knowledge of Bayesian inference and related numerical

. Knowledge of in vitro in vivo extrapolation (IVIVE) techniques

. Awareness of R&D process in pharmaceutical companies

. Awareness of good software engineering practices


For more information visit:




Received on Sun May 12 2019 - 06:29:50 EDT

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