Senior Statistician

The work will include several studies that address pertinent questions in the context of the continuing scale-up of antiretroviral therapy in resource-limited settings, with the ultimate aim to improve the prognosis of people living with HIV and AIDS in sub-Saharan Africa. The project will mainly use data from the International epidemiological Databases to Evaluate AIDS (IeDEA), a global network of treatment cohorts, which includes seven regions (see ?url=www.iedea-hiv.org&module=&id=" target="_blank" rel="nofollow">www.iedea-hiv.org and www.iedea-sa.org).

The specific objectives and tasks include:

· To apply state-of-the-art and novel statistical methods for the analysis of cohort data.

· To contribute to a mathematical simulation model which was developed by our group to analyse (cost-) effectiveness of antiretroviral therapy.

· To provide statistical and methodological support to epidemiologists and PhD students.

· To communicate results through presentations and scientific publications in peer reviewed journals.

· University degree in a relevant discipline (e.g. statistics, mathematics, physics).

· Substantial experience in statistical analysis and programming – preferably in R (knowledge of Stata would be an advantage), including: Probability calculus, Bayesian approaches, Stochastic processes, mixed effect models, multiple imputation of missing data, causal modelling, survival analysis, competing risk analysis, etc.

· Ability to work independently and as part of a team.

· Interest in applied research in the areas of epidemiology, biostatistics and HIV

· Excellent knowledge of English (German or French would be an advantage)

The post is offered for 2 years initially, full-time or part-time (minimum 40%). The salary will depend on experience, in accordance with the university scales.

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