AstraZeneca -> Clinical Pharmacometrican opportunity
(Senior) Clinical Pharmacometrician
CVMD Quantitative Clinical Pharmacology - Early Clinical Development
Salary: Competitive
Location: Gothenburg, Sweden
Do you have expertise and experience in mathematical modelling and simulation
and its application in drug development, plus a pharmaceutical industry R&D
background? Do you have a good understanding of the concepts of
pharmacokinetics and drug disposition? If you're a talented and engaged
individual, this is an opportunity to join AstraZeneca as a (Senior) Clinical
Pharmacometrician in Gothenburg supporting projects within the therapy area of
Cardiovascular and Metabolic Disorders
AstraZeneca is a world-leading pharmaceutical company, we focus on discovering
and developing medicines that make a real difference to millions of patients.
We are building a state-of-the-art quantitative clinical pharmacology group
with a diverse and uniquely skilled team of pharmacometricians in Gothenburg,
where two of our key therapeutic areas are located. You'll thrive in an
environment that inspires innovation, encourages multidisciplinary team-working
and collaboration with academia, and rewards original scientific thinking.
Main duties and responsibilities
Working closely with clinical pharmacology scientists, physicians and other
scientists, you'll apply modelling to support the design and interpretation of
clinical studies and influence key decisions in early and late clinical
development.
The work includes integration of relevant data, such as dose information,
pharmacokinetics, biomarkers and clinical endpoints within and across studies,
compounds and development stages. Support to informative trial designs using
simulations and efficient modeling statistics is an important focus area for
us. An area to grow is quantitative systems pharmacology and mechanistic
modelling approaches for more informative translation of disease and drug
knowledge. In collaboration with clinical pharmacology scientists, you'll
represent Quantitative Clinical Pharmacology and be responsible for identifying
and executing modelling to support model based drug development. You will
communicate your findings to other scientists within and outside of AstraZeneca
and publish them in peer reviewed journals.
Essential requirements
You must have:
· PhD degree preferred or equivalent relevant experience in
quantitative science
· Strong quantitative modelling skills, e.g. expert knowledge in
mathematics, statistics, mechanistic systems pharmacology modelling,
quantitative translational scaling, model-based meta-analyses
· Background and a comprehensive understanding of clinical pharmacology
aspects of drug development
· Experience in pharmaceutical R&D
· Working knowledge of pharmacokinetics and its clinical application
· Biological understanding of disease and drug action
· Excellent oral and written communication skills.
You'll need real passion for your subject, along with a high level of
integrity, plus the ability to work in a multi-disciplinary setting that
comprises a number of specialists in their fields, including physicians,
scientists and statisticians.
Desirable requirements
You will ideally have:
· Recognised scientific expertise demonstrated by scientific publishing
in the field of clinical pharmacology
· Early or late phase clinical development experience/awareness.
More information
For more information about the position please contact: Bengt Hamrén at +46 31
7762201
Welcome with your application no later than April 30, 2017.
https://job-search.astrazeneca.com/job/gothenburg/senior-clinical-pharmacometrician-cvmd-quantitative-clinical-pharmacology-early-clinical-development/7684/4313026
Bengt Hamrén, PhD
Quantitative Clinical Pharmacology Lead CVMD
_____________________________________________________________________________________________
AstraZeneca R&D Mölndal
Research and Development | Quantitative Clinical Pharmacology
SE 431 83 Mölndal, Sweden
T: +46 (0)31 776 22 01
Mobile: + 46 (0) 768-774811
e-mail: [email protected]<mailto:[email protected]>
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