University of Cape Town
Post Title: Postdoctoral Research Associate in Data Science
Division: Department of Paediatrics & Child Health, SAMRC Unit on Child &
Adolescent Health
Salary Range: R450,000 - R550,000 per annum (non taxed)
Responsible To: Professor Heather Zar/ Professor Adnan Custovic
Location: Cape Town, South Africa with travel to UK for training
Contract: 36 months, full time, fixed term
Start date: Jan to June 2019
Application process:
To apply, please e-mail cover letter and CV to Tiffany Burd (
[log in to unmask]).
Closing date for applications: 31 Dec 2018
Qualifications
PhD (or an MSc with equivalent relevant experience) in Statistics,
Statistical Genetics, Bioinformatics, Computational Biology or another
relevant discipline with a strong statistical or data analysis component.
Description: Applications are invited for a full-time Postdoctoral Research
Associate to work on projects investigating subgroups of disease using
latent variable models and longitudinal models to identify predictors and
disease trajectories from birth with a focus on asthma across multiple
birth cohorts. The candidate will collaborate with the DCHS and STELAR
study teams and will supervise, plan, design, manage, and implement
research and data analysis of a highly complex nature. Postoctoral Research
Associates should have a PhD in statistics, data science, machine learning
or a related field. Candidates should have a high level of expertise in one
or more of the following areas: quantitative research methods,
dimensionality reduction techniques, Bayesian data analysis, multilevel
modelling, latent variable modelling and/or longitudinal analyses of cohort
data. In addition, candidates should have strong data management skills and
a high degree of proficiency with one or more statistical software packages
(e.g., SAS, Stata, R, MPLUS, PLINK). Candidates should also have experience
preparing oral and written reports of research findings. Candidates will
have the opportunity to spend time in the UK with the STELAR team for
training and as part of this collaborative research.
The successful candidate will take an active part in academic activities in
the DCHS including presentations, statistical support to investigators and
contributing to or producing study manuscripts.
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