Modeling and Simulation Visiting Scientist Position at Novartis Pharmaceuticals
The company: a global healthcare leader, Novartis has one of the most exciting product pipelines in the industry today. A pipeline of innovative products brought to life by diverse, talented, performance-driven people. All of which makes us one of the most rewarding employers in our field. Modeling and Simulation at Novartis: supports the optimal development of therapeutic drugs. Modeling & Simulation (M&S) integrates the principles of biology, pharmacology, and statistics to explain and predict the quantitative consequences of decisions, through the application of mathematical models. A dedicated programming group facilitates our activities by providing data extraction and integration. M&S is a Global Line Function which reports directly to the Global Head of Development. M&S is committed to provide excellence in quantitative support for informed decision-making throughout the organization, from Research through to Development, regulatory approval and the market place. The task: We are looking for innovative and motivated quantitative scientist with a genuine interest in disease modeling and meta analyses and has a solid scientific background in mixed effect modeling and simulation, including basic programming skills. S/he should have a general understanding of immune disorders and is willing to gain a deeper insight in rheumatoid arthritis (RA) in particular. The aim of this project is to establish a model framework that captures all important components of the longitudinal changes of key clinical measures in RA, including the effects of disease and different therapeutic regiments on the disease progression processes. Activities for the visiting scientist will include, but are not limited to, supporting quantitative aspects of model development, interacting with clinicians to align model building strategies, communicate modeling results and support publications. Ideal candidate: Modeling skills: Understanding and experience in modeling of longitudinal clinical data Some experience in modeling of summary level data e.g. using Bayesian methodologies Model building and validation, including non linear mixed effect modeling Biological/Pharmacological domain Knowledge and experience in pharmacokinetic-pharmacodynamic modeling Basic knowledge of immune disorders Knowledge on how to extract and use information/data from literature To apply, go to www.novartis.com (Careers) and the position has the following Job ID: 57470BR For more information please contact Bengt Hamrén (contact info below) or Colin Pillai ([email protected], +41 61 324 6025) Bengt Hamrén, PhD Novartis Pharma AG PH332, M&S Pharmacology CHBS, CHBS, WSJ-027.1.014 Novartis Pharma AG Forum 1 Novartis Campus CH-4056 Basel Switzerland Phone: +41 61 3245923 Fax: +41 61 3241246 Email : [email protected]
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