Pharmacometrics/Applied Statistics/Mathematical Modelling 
(18 months fixed term contract)

Division of Clinical Pharmacology,
Department of Medicine,
Faculty of Health Sciences,
University of Cape Town

Closing Date: 5 September 2011

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: [log in to unmask]                       
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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