Main purpose of the job:
To contribute to the development and maintenance of an extensive archive of scientific data.
Location:
Agincourt- Bushbuckridge (Mpumalanga Province)
Detail:
The Agincourt data infrastructure supports an exceptional health and population data resource resulting from two decades of health and socio-demographic surveillance, a form of longitudinal population registration, coupled with observational and intervention studies along the life course. These involve collaborations with an interdisciplinary network of leading global scientists. The successful candidate will join a talented and hardworking team addressing some of the country and region’s most pressing health and development challenges. Work links closely to leading R&D networks. Personal academic and professional development is encouraged.
The MRC/Wits Agincourt Research Unit is an exceptional health and population research centre in the Wits School of public health. The school has several strong divisions including epidemiology and Biostatistics, and a sister Demography and Population studies programme.
Key performance areas:
- Strengthen an innovative, high-performing Data management group.
- Contribute to peer-reviewed publications and technical reports, including as lead author.
- Assess, manipulate, clean, validate and describe datasets from diverse research studies.
- Develop dashboards and other forms of data visualization to inform district/ provincial health service decision-making.
- Provide mentorship to junior data personnel including data administrators/specialist
Required minimum education and training:
- Master’s degree in Computer Science/ Data Science/ Statistics/ Epidemiology/ Demography/ Data Analytics/ Bioinformatics or other highly quantitative and computational fields.
Required minimum work experience:
- Minimum of 2 years of Data management experience
- Working experience in a low- or middle-income country
Desirable additional education, work experience, and personal abilities:
- Experience in processing and analyzing large complex longitudinal datasets.
- Demonstrated knowledge and track record of statistics and proficiency using a statistical software package (STATA, SAS, R), particularly for import, manipulation, and analysis of large datasets.
- Working knowledge of SQL (i.e., ability to write queries that involve joining tables, aggregating functions, updating, and inserting into existing tables).
- Effective use of visualization technologies.
- Team player able to work in a high-performing collaborative environment and support scientific investigations across disciplines.
- Excellent written and oral communication skills in English.
- Ability to prioritize and work under pressure on a variety of tasks concurrently.
- Valid South African Driver’s license.
TO APPLY:
- Only if you do meet the minimum job requirements and experience as mentioned above, you may submit a detailed updated CV. Please Apply Online
- Please take note that the applicants who do not adhere to the above criteria will not be considered for the respective position.
- The closing date for all applications: 21 November 2022.
- 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 to be unsuccessful.
- Note AJ Personnel is fully POPI compliant.
- Note WHC, in accordance with their Employment Equity goals and plan, will give preference to suitable applicants from designated groups as defined in the Employment Equity Act 55 of 1998 and subsequent amendments thereto.
- The organization maintains a Mandatory Covid-19 requirement and as such only Covid-19, Vaccinated incumbents will be considered for positions.
Please note:
- AJ PERSONNEL is only responsible for the advertising of the advertisement on behalf of their client Wits Health Consortium.
- AJ Personnel does not have any salary or other information regarding the position.
About The Employer:
Background
The Agincourt data infrastructure supports an exceptional health and population data resource resulting from two decades of health and socio-demographic surveillance, a form of longitudinal population registration, coupled with observational and intervention studies along the life course. These involve collaborations with an interdisciplinary network of leading global scientists. The successful candidate will join a talented and hardworking team addressing some of the country and region’s most pressing health and development challenges. Work links closely to leading R&D networks. Personal academic and professional development is encouraged.
The MRC/Wits Agincourt Research Unit is an exceptional health and population research centre in the Wits School of public health. The school has several strong divisions including epidemiology and Biostatistics, and a sister Demography and Population studies programme.