Positions available (closing end of Jan)

We have a few positions available

  1. 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)
  2. 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.


PATS MECOR 2020 – Cameroon

Join us in Douala, Cameroon 20-24 April, 2020 for the annual PATS MECOR course. BiostatsLAB-Africa will again be supporting this course with biostatistics teaching & consulting, but we would also like to offer two workshops to local statisticians. Please register your interest here and we will get in touch.

Workshop 1 Longitudinal modelling with R: A one day interactive workshop developing skills in longitudinal modelling with R.

Workshop 2 (interest permitting): Statistics for science journalists: how to write about research. We will do a half day workshop aimed at science journalists who would like some training or a refresher on how to understand and interpret the numbers coming out of research publications.

If you are an early career respiratory researcher who is interested in the PATS MECOR program, please see details here – applications close 06 January 2020.

Workshops supported by the Academy of Medical Sciences Newton Advanced Fellowship and the European and Developing Countries Clinical Trials Partnership (EDCTP2) programme supported by the European Union (TMA2017SF-1959)

ZivaHub & uploading of some misc work

UCT has a branded version of figshare called ZivaHub and as promised, we are starting to upload some old slide decks, posters, etc. There are a few documents pending review, but eventually you will be able to find under my name here . We have also just uploaded a pre-print onto the arXiv titled “Bias in the estimation of cumulative viremia in cohort studies of HIV-infected individuals”.

Collaborative Biostatistics Training Workshop

We will be running our first workshop focused on early career biostatisticians in June 2019 in Tanzania. Dates are 13-14 June at the White Sands Hotel, Jangwani Beach, Dar Es Salaam. We are currently taking applications.

Topics:

  • The many roles of the collaborating biostatistician
  • Collaboration with clinical researchers (theory & practice)
  • Development of collaboration skills
  • In depth skills assessment
  • Methods & practice: Sample size and power (G*Power software)
  • Biostatistical methods (GLMs, GAMs/splines, GEE and clustered data)
    (may change depending on skills assessment)

Dates: Thursday 13 – Friday 14, June, 2019, 8:30-17:00 daily
Venue: White Sands Hotel, Jangwani Beach, Dar Es Salaam
Cost: $80 (2 days) includes lunch and tea breaks [Note: Does NOT include accommodation or travel]
Apply: https://goo.gl/forms/NxUu9aunt6vo2hSC2 DEADLINE: 1 May, 2019
Decision & feedback will be made on applications by 5 June, 2019

“Introduction to R” Workshops

The first of three “Introduction to R” workshops led by the Division of Epidemiology and Biostatistics in the School started in the second week of March. Over three days approximately 25 Masters and PhD students learned basics of R programming and an introduction to data manipulation in R. The workshop was aimed at new users and started from the very basics.

Future workshops will build on this one and introduce students to more advanced data analysis skills in R. The workshop materials are available through the public (to UCT community) Vula site “R Training (Div Epi Bios)” which can be joined without invitation. Training was led by Elton Mukonda, a PhD student in the Division of Epidemiology and Biostatistics and supported by a number of current 2nd year MPH students as teaching assistants.

Re-post from here

Academy of Medical Sciences Newton Advanced Fellowship awarded to A/Prof Maia Lesosky

Associate Professor Maia Lesosky of the Division of Epidemiology & Biostatistics has been awarded a Newton Advanced Fellowship from the Royal Society, in partnership with the Academy of Medical Sciences for the period 2019-2021.

The Fellowship aims to enable established international researchers with an opportunity to develop the research strengths and capabilities of their research groups through training, collaboration and reciprocal visits with a partner in the UK.

During the Fellowship, Dr Lesosky will collaborate with the Liverpool School of Tropical Medicine (LSTM) and the Centre for Health Informatics, Computing and Statistics (CHICAS) at the University of Lancaster Medical School. The research groups will join forces to extend Bayesian statistical methods for the analysis of multilevel models relating to exposure and lung health. 

Repost from here