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M&S Visiting Scientist Position at Novartis

From: bengt.hamren
Date: Thu, 8 Oct 2009 09:34:59 +0200

Modeling and Simulation Visiting Scientist Position at Novartis

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
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 (Careers) and the position has the
following Job ID: 57470BR

For more information please contact Bengt Hamrén (contact info below) or =

Colin Pillai (goonaseelan.pillai

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
Phone: +41 61 3245923
Fax: +41 61 3241246
Email : bengt.hamren

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Received on Thu Oct 08 2009 - 03:34:59 EDT

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