Tuesday , February 7 2023

Wits Consulting Careers – Doctoral Research Fellowship

Website Wits Health Consortium

Job Description:

The South African HIV Cancer Match (SAM) study is a nation-wide HIV cohort created from a machine-learning based record linkage between HIV laboratory data (CD4 counts, viral load, HIV tests) from the NHLS and cancer diagnoses from the National Cancer Registry. The aim of this NIH funded project is to study cancer risk in people living with HIV in South Africa. We plan to enrich the SAM study by adding vital status information and building an HIV-negative control cohort. Therefore, we are searching for a postdoctoral fellow with expertise in machine learning and record linkages.

Job Responsibilities:

  • Machine learning based record linkage of NHLS laboratory records and NCR data
  • Preparation of datasets for statistical analyses
  • Data Pre-processing and Management

Job Requirements:

  • PhD in Public Health Informatics, Statistics, Bioinformatics, Computer Science, Machine Learning or comparable
  • SAM study database update and maintenance
  • Strong statistical/analytical skills
  • Creation of an HIV-negative control cohort for the SAM study based on diabetes-related laboratory records and NCR data
  • Strong Python, R, Stata skills
  • Experience working with large datasets

Job Details:

Company: Wits Health Consortium

Vacancy Type: Full Time

Job Functions: N/A

Job Location: Sandringham, Gauteng, SA

Application Deadline: N/A

Apply Here


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