SayPro Quality of Life Research Consulting Service

SayPro SayPro

Job Detail

  • Job ID 177485
  • Qualifications phd
  • Industry Education, training & skills development
  • Reference Job: IRC86768
  • Centre Braamfontein.
  • Enquiries

    If you have any further queries, please address them to: The Executive Director, GCRO, Private Bag 3, Wits 2050 or e- mailed to [email protected]
  • Where to submit application

    Applicants are invited to apply, by registering their profile on the Wits i-recruitment platform located at https://irec.wits.ac.za and submitting their application. Internal Wits employees are invited to apply directly on Oracle by following the path: iWits /Self Service application/gApply for a jobh.
  • Notes

    To apply, submit a covering letter addressing the selection criteria specifically; a detailed CV with names, addresses, contact numbers and email addresses of 3 referees willing to provide references; and certified copies of your academic qualifications, i.e. degrees/diplomas. Applicants should include examples of published work, preferably your last three published items. The closing date for all applications is 13 May 2022. Shortlisted applicants may be required to sit for skills and psychometric assessments as part of the interview process.

Job Description

We are looking for: • Applicants with a PhD-level qualification, or in exceptional cases a Masters with substantial and evidence of progress towards attaining a PhD. • A candidate with significant survey and data management expertise, able to comfortably manage the complexities of large-scale in-household social surveys. Note that GCRO contracts out QoL fieldwork to external fieldwork service providers, so day-to-day direct management of fieldworkers is not required. But clear expertise with survey design; questionnaire development; sampling and weighting; fieldwork contracting, direction and contract management; quality control; data preparation; and technical documentation of survey processes is essential. • A candidate with significant quantitative data analysis and results presentation . High level statistical analysis skills would be an . • An applicant who can continue to consolidate and develop QoL related survey and data management systems, processes and practices within GCRO. • An applicant who can, increasingly over time, provide research leadership on quality of life and multi-dimensional well-being as a cross-disciplinary field of applied and academic research, as well as an arena of policy engagement with government. While QoL data is used across the organisation, research leadership is required to grow the data analysis and presentations skills of more junior researchers, to build international collaborations in the field of quality of life studies, and to innovate new modes by which QoL data can be transmitted to and used by government stakeholders.

Required skills