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. Requirements: Essential . 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 Desirable . Working knowledge of Bayesian inference and related numerical techniques . 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: https://www.linkedin.com/jobs/view/1241459021/ Regards Masoud
