Dear all,
the WWARN Pharmacology Module at University of Cape Town is offering a
pharmacometrics position as Lecturer/Senior Lecturer.
Our Division of Clinical Pharmacology, which the successful candidate
will join, has established clinical and pharmacokinetic expertise in TB,
HIV and malaria. We have a young and dynamic modelling group with
ongoing collaborations with groups in Europe and Australasia.
Details of the position can be found below. For further information, we
encourage anyone interested to contact marilyn.solom...@uct.ac.za
Please be reminded that the deadline for the application is in about 2
weeks.
Best regards,
Paolo Denti
Division of Clinical Pharmacology - DEPARTMENT OF MEDICINE - FACULTY OF
HEALTH SCIENCES
Pharmacometrics / Applied Statistics / Mathematical Modelling (18 months
fixed term contract)
The Worldwide Antimalarial Resistance Network (WWARN) is a global
collaboration working to collate and share comprehensive, timely and
quality-assured intelligence to track the emergence of antimalarial drug
resistance (www.wwarn.org). Achieving adequate antimalarial drug
concentrations in the blood is pivotal to curing malaria. The WWARN
Pharmacology Module is based in the Division of Clinical Pharmacology of
the University of Cape Town's Department of Medicine with strong links
with its many international partners. The objectives of the statistical
modelling within the WWARN Clinical Pharmacology module are to determine
the effect the drug concentration profiles have on treatment response
(i.e. pharmacodynamic measures), patient factors that influence drug
concentration over time profiles (i.e. pharmacokinetic profiles), and
the implications of these pharmacokinetic-pharmacodynamic relationships
for antimalarial dosing in key target population groups. The successful
candidate will report to the WWARN Clinical Pharmacology module director
(UCT) and WWARN Head of Statistics (UK), with linkage to the WWARN
Pharmacology Scientific Coordinator (UCT) and IT team manager (UK), as
well as our international network of WWARN data contributors.
Requirements include:
Essential:
* A PhD in pharmacometrics, applied statistics or mathematical
modelling (or a closely related field)
* Evidence of strong academic capacity in the form of publications or
other scientific research output with high statistical contents in
relevant areas
* For appointment as senior lecturer, at least 3 years post-doctoral
experience in pharmacometrics / applied statistics / mathematical
modelling
* Experience in data management and analysis of large databases
* Good communication and presentation skills, both oral and written
* The ability to work both independently and as a member of a team
* The ability to work against tight deadlines
* Self-motivation.
Advantageous:
* Fluency in statistical / pharmacometric software, including
Stata,S-Plus/R, WinNonLin, MONOLIX, NONMEM and BUGS/WinBUGS.
* Experience with nonlinear mixed effects modeling and / or
model-based meta-analysis.
* Experience in infectious diseases (preferably malaria) and clinical
pharmacology research.
Responsibilities include:
* Statistical analysis: Summarising, analysis and graphical
representation of pharmacokinetic (PK) and pharmacodynamic (PD) data
contributed to WWARN for online visualization on WWARN explorer.
* Population PK-PD analysis: Modelling of pooled individual patient
pharmacokinetic (PK) and pharmacodynamic (PD) data contributed to WWARN.
* Contribute to the searchable database of published antimalarial
pharmacokinetic research.
* Contribute to capacity building of the statisticians and
pharmacometricians analysing data contributed to WWARN.
* Initiating and strengthening collaborations with existing and
potential WWARN Pharmacology data contributors.
The annual remuneration package is negotiable between R443 436 and R544 187.
Application process:
To apply, please e-mail the completed UCT Application form (download at
http://web.uct.ac.za/depts/sapweb/forms/hr201.doc) and all other
relevant documentation as indicated on the form, to Mrs Marilyn
Solomons, Division of Clinical Pharmacology, Department Medicine, Old
Main Building, Groote Schuur Hospital, Anzio Road, Observatory.
Email: marilyn.solom...@uct.ac.za; Tel: 021 4066779; Website:
www.medicine.uct.ac.za
An application which does not comply with the above requirements will be
regarded as incomplete.
Reference number for this position: 2325
Closing date for applications: 5 September 2011
UCT is committed to the pursuit of excellence, diversity and redress.
Our Employment Equity Policy is available at
http://hr.uct.ac.za/policies/ee.php.
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Paolo Denti, PhD
Post-Doctoral Fellow
Division of Clinical Pharmacology
Department of Medicine
University of Cape Town
K45 Old Main Building
Groote Schuur Hospital
Observatory, Cape Town
7925 South Africa
phone: +27 21 404 7719
fax: +27 21 448 1989
email: paolo.de...@uct.ac.za
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