Postdoctoral Fellowships in Pharmacokinetic / Pharmacodynamic Modelling Platform

Netherlands. Leiden University.

4 years full time postdoctoral fellow positions are available within a project to set up a mechanism-based PK-PD (pharmacokinetic / pharmacodynmic) modeling platform. This platform focuses on the transfer of knowledge from academia to the pharmaceutical industry and is a collaborative effort of four excellent academic institutes and six leading global pharmaceutical industries. Unique to this platform is the availability of shared databases on disease and drug related parameters.

The aim of the platform is to provide a scientific basis for rational drug discovery and development with a strong focus on priority medicines. In total 11 PhD students and 7 post-doctoral fellows are employed by the platform. Three working groups have been established which will address the following challenges 1) to develop mechanism-based PK-PD models to characterise disease progression, 2) to predict the effects of ageing on clinical response and 3) to create a translational research framework that allows extrapolation of preclinical to clinical and epidemiological findings. The approach is based on hierarchical models and relies on the use of advanced statistical software tools such as NONMEM, WINBUGS and R.

Given the nature of this project, the main task of the principal post-doctoral fellow will be to coach the PhD students and postdocs within the platform, to support model building and simulation and to identify underlying general principles shared among individual projects .

You will work as a team member of a TI Pharma project. The project team comprises academic and industrial partners. In this case, the partners are: University of Leiden, University of Groningen, the University Medical Center of Utrecht, the Erasmus Medical Center, Rotterdam and the companies Eli Lilly, Johnson & Johnson, GSK, Nycomed, Organon/Schering Plough and Pfizer. You will attend a unique drug discovery education and training program offered by TI Pharma.

Interested candidates should have the following backgrounds and competencies:

• A strong background in PK-PD modeling & simulation and/or Bayesian statistics
• A degree in Biostatistics, Medicine, Bioengineering, Biopharmaceutical Sciences, Physiology or equivalent scientific training
• Bird eyes’ view
• Conceptual thinker
• Problem-solving and coaching skills are essential
• Ambitious
• Creative
• Interested to perform research in a unique multidisciplinary setting

To apply for the postdoctoral fellowships, you should send your application to:

Contact person

Dr. O. Della Pasqua
Division of Pharmacology, Leiden/Amsterdam Center for Drug Research
Leiden, The Netherlands
Odp72514@gsk.com
+44 7876031907

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