Background: The Health Economics and Epidemiology Research Office (HE2RO) of the University of the Witwatersrand, based in Johannesburg, South Africa, is an internationally recognized health research organization that conducts research and analysis on issues of public health importance, including a strong focus on HIV, TB, and NCDs. HE2RO seeks to build the evidence base to improve health policies and programmes in South Africa and the region. We collaborate on policy relevant research with Boston University and other national and international organizations. For more information visit our website at www.heroza.org.

We seek a dynamic, enthusiastic, and self-motivated Data Scientist to be part of our research team. Successful applicants will be part of a team of researchers working on cutting edge public healthresearch questions that contribute to the evidence-base for improving access to, and delivery of health services for HIV, TB and other health challenges.

The position is based at HE2RO’s head office in Johannesburg but may require travel within SubSaharan Africa and possibly globally. Overtime/weekend hours and working in rural areas and/or
under-resourced circumstances will be required from time to time. This is a full-time/fixed term

Responsibilities and Duties

  • Support for further refinements, training, and validation of record linkage algorithm.
  • Manage projects and data stakeholder engagements as required.
  • Managing protocols for cohort data release including:
    o checking cohort data.
    o creating cohort metadata.
    o creating and updating a database with all cohort data requests, releases, and links to full meta data, data documentation, and a unique identifier for that specific cohort run.
  • Conducting linkage of external datasets or other analyses that require access to identifiable data
    within the NHLS environment.
  • Create and manage a virtual repository for cohorts within HE2RO with full documentation; and manage access permissions.


  • Minimum 3-5 years’ big database and data management experience
  • Master’s degree in data science or related qualification.
  • Shows Initiative and leadership as a researcher. May lead a small project – i.e. as a local PI or co-Investigator.
  • Data analysis [SQL and Python], and data management skills
  • Experience with more advanced statistical methods (Stata)/willingness to learn.
  • Able to communicate well, both written and spoken.
  • Self-motivated, able to work independently and as part of a multidisciplinary team.
  • Ability to maintain confidentiality, tact and professionalism at all times.
  • Ability to manage and maintain good relations with both participants and fellow team members.
  • Willing to work flexible hours (e.g. late afternoons)/overtime/weekend hours) conducting household and/or telephonic interviews.
  • Valid driver’s license will be advantageous.
  • Willingness to travel locally if required.

Closing Date20/02/2024
Sunnyside Office Park, Building C, First Floor, 32 Princess of Wales Terrace, Parktown, Johannesburg, South Africa, 2193
Position TypePermanent
Detailed Job description
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