Academic Researcher Position in Statistical Data Analysis

2 days ago


Pretoria, Gauteng, South Africa University of PretoriaUniversiteit van Pretoria Full time

Job Title: Academic Researcher Position in Statistical Data Analysis

Location: Gauteng, Pretoria

Salary Estimate: R1,200,000 - R1,500,000 per annum

This is an exciting opportunity for a highly skilled and motivated individual to join our research team at the University of Pretoria. We are seeking an Academic Researcher with expertise in statistical data analysis to contribute to our ongoing projects.

About the Role:

  • We are looking for someone with a strong background in statistics and experience in designing and analysing sample surveys.
  • The successful candidate will be responsible for conducting high-quality research, preparing and delivering presentations or posters, and collaborating with multidisciplinary teams.
  • They will also be expected to manage the acquisition, organisation, and management of data, as well as coordinate data exchange and collaborative research activities.
  • Additionally, they will supervise and co-supervise postgraduate students and train and mentor focal points from United Nations (UN) member states.
  • The ideal candidate will have a Master's degree in statistics or a related field and at least five years of experience in research and consultancy.
  • They should have proven experience working in multidisciplinary teams, donor-funded programmes, and statistical data analysis software such as STATA.

Requirements:

  • A Master's degree in statistics or a related quantitative field
  • At least five years of experience in high-quality research in designing and analysing sample surveys, working in multidisciplinary teams, and donor-funded programmes
  • Proven experience and proficiency in statistical data analysis software, specifically STATA or similar packages
  • Strong quantitative data analysis skills and a verified publication record

Preferred Qualifications:

  • Proven technical expertise in statistics methods and applications
  • Proven ability and experience in data mapping and collating data
  • Proven ability to write layman's reports, policy briefs, and peer-reviewed publications
  • Able to work under pressure and adhere to deadlines
  • Self-motivated, able to work independently and work as part of a multidisciplinary team


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