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.
