Assist in organizing, conceptualizing and conducting large, advanced spatial analyses as part of a team.
Maintain or modify existing Geographic Information Systems (GIS) databases.
Review existing or incoming data for accuracy, usefulness, quality, or completeness of documentation.
Performing data cleaning to convert data into its desired form.
Develop geodatabase schemas and analytical methods needed to support project goals.
Analyse and report on patterns and trends through spatial mapping of data.
Perform literature searches in order to supplement specialist knowledge and support healthcare policy and decisions.
Communicate and collaborate with team members and individuals from a wide variety of backgrounds, both technical and non-technical.
Required minimum education and training
MSc in Geographic Information Systems (GIS), Computer Science, Biostatistics/ Epidemiology, or a related field.
Desirable additional education, work experience and personal abilities
Advanced GIS software knowledge and experience including Esri GIS core products (e.g., ArcGIS, ArcGIS Online)
Intermediate knowledge of programming languages (e.g. Python, R) and relational database management system software (e.g. SQL)
Knowledge of statistical analysis and statistical software programmes (e.g. STATA, SAS, SPSS)
Good understanding of geospatial (GIS) reporting
Understanding of the design of database architectures, data warehouses, data migrations, visual design/ dashboards
Research interest in priority diseases
Knowledge or interest in epidemiology practices
Knowledge of data quality management practices and data security and privacy
Advanced communication (verbal and written) and interpersonal skills
Self-motivated and ability to work under pressure
Must be able to multi-task and prioritize tasks within multiple ongoing projects
Ability to work independently
Attention to detail
Required minimum work experience
1-3 years of professional work experience including experience with laboratory data analysis.
Closing Date: 13 May 2022
Detailed Description
Job Requirements
Additional Details
How To Apply
Should you be interested in applying for this vacancy, please send an email to ngaju@witshealth.co.za. The subject heading of the email must read Data Scientist and the job title of position applying for. Please include the following documentation:
A cover letter (maximum one page) that clearly states which vacancy you are applying for
A detailed CV
The Wits Health Consortium will only respond to shortlisted candidates. Candidates who have not been contacted within two weeks of the closing date can consider their applications unsuccessful.