We have a few positions available
- Modeller – we need a great R programmer to work on statistical simulation. This can either be as a postdoc (tax free) or we can appoint as a research fellow (not tax free), either way post PhD as research experience will help. This is really contract programming, but a fun project with lots of scope. The description pasted here is for the ‘postdoc’ post, but feel free to drop an email to discuss the conditions for the other variant. (job description pdf file)
- Statistical analyst – MSc level analyst for Bayesian multilevel modelling related to respiratory disease. (job description pdf file)
See job descriptions below.
Job 1: Biostatistics Group – Postdoctoral fellowship in Biostatistics
Specializing in Statistical Simulation
The Division of Epidemiology & Biostatistics at UCT is seeking a Postdoctoral Fellow in Biostatistics to conduct research developing individual stochastic simulation models relating to HIV, ART, and viral load. The successful candidate will have skills in programming and biostatistics, with specific experience using R software to build simulation models. Experience with Rcpp and/or C++ as well as the pacakge ‘shiny’ will be beneficial. He/she will join the Division of Epidemiology & Biostatistics (www.http://www.publichealth.uct.ac.za/phfm_epidemiology-and-biostatistics), which forms the centre of biostatistics activities in the Faculty.
Academic Conditions of Award:
The successful candidate must be in possession of a PhD or equivalent degree in a relevant area (Computer/Data Science, Statistics, Biostatistics), with exposure to biostatistics. The candidate must provide evidence of excellent R programming skills.
The research to be undertaken will include:
- extension of an existing simulation model to incorporate new data including effects of DTG based ART regimens, and downstream statistical analysis and data interpretation;
- optimising simulation model by re-coding and/or incorporating Rcpp/C++ components;
- parallelisation of the simulation model;
- if interested, the incumbent will have opportunities to lead author manuscripts and other outputs
General Conditions of Award:
(i) Only individuals who have achieved the doctoral degree within the past 5 years are eligible to apply
(ii) Applicants may not previously (since their PhD) have held full-time professional or academic positions
(iii) The successful candidate may, as part of their professional development, be required to participate in departmental activities such as limited teaching and supervision and duties incidental thereto
(iv) The successful incumbent will be required to comply with the University’s approved policies, procedures and practises for the postdoctoral sector.
Value and tenure:
The value of the fellowship is ZAR 300 000 per annum (non-taxed). No benefits or travel allowances are included in the value of the fellowship.
Application process:
Applications and inquiries should be submitted to A/Prof Maia Lesosky (maia.lesosky@uct.ac.za). To apply, please e-mail a letter of application stating areas of expertise, research interests, and experience, a CV including a list of publications, code repositories, copies of academic transcripts, and names (and contact details) of at least two academics who have taught, supervised or worked alongside the applicant.
Only shortlisted candidates will be contacted. A competency evaluation may be applied.
Closing date for applications: 31 Jan 2020
The University of Cape Town reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. The University of Cape Town reserves the right to change the conditions of award or to make no awards at all.
Job 2: Biostatistics Group – Statistical Analyst
The BiostatsLAB-AFRICA group in the Division of Epidemiology & Biostatistics at UCT is seeking a statistical analyst for a 12-month contract post (renewable) to carry out research related work in longitudinal models relating to respiratory disease in sub-Saharan Africa. The successful candidate will have skills in programming and biostatistics, with specific experience using R software and applied data analysis. He/she will join the Division of Epidemiology & Biostatistics (www.http://www.publichealth.uct.ac.za/phfm_epidemiology-and-biostatistics), which forms the centre of biostatistics activities in the Faculty.
Requirements include:
- Masters degree in statistics, epidemiology or public health (statistics or epidemiology specialisation)
- Minimum 2 years research and statistical analysis experience in a research setting
- Highly proficient in R
- Experience working in a collaborative research environment advantageous
- Desire to further training through a PhD (and eligibility in that regard) advantageous
Responsibilities include:
- Carrying out statistical analysis, including development of analysis plans and documentation of analysis results
- Carrying out statistical modeling, including documentation of modeling
- Supporting investigators and students with data/statistical analysis
- Completing statistical analyses as requested
- Carrying out project management tasks (10% time) as requested
- Participation in analysis and writing of manuscripts for publication
The annual remuneration package will be based on experience and qualifications, for example:
UCT PC 8/9 (http://www.hr.uct.ac.za/hr/benefits/remuneration/coe_ranges/payclass1_12)
Application process:
Applications and inquiries should be submitted to A/Prof Maia Lesosky (maia.lesosky@uct.ac.za). To apply, please e-mail a letter of application stating areas of expertise, research interests, and experience, a CV including a list of publications, code repositories, copies of academic transcripts, and names (and contact details) of at least two academics and/or supervisors who have taught, supervised or worked alongside the applicant.
Only shortlisted candidates will be contacted. A competency evaluation may be applied.
Closing date for applications: 31 Jan 2020
The University of Cape Town reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. The University of Cape Town reserves the right to change the conditions of appointment or to make no appointment at all.
UCT is committed to the pursuit of excellence, diversity and redress in achieving its Equity Targets.
Our Employment Equity Policy is available at http://www.uct.ac.za/downloads/uct.ac.za/about/policies/eepolicy.pdf
For this post we seek to particularly attract black (i.e. African, Coloured or Indian) South African candidates.
