HUMAN SCIENCE RESEARCH COUNCIL IS RECRUITING FOR DATA ASSISTANT X5 POSTS

CLOSING DATE: 2024/10/30

LOCATION: KwaZulu-Natal

JOB TYPE: Contract

JOB HIGHLIGHTS

The CCBR is looking for a suitably qualified person to take on the responsibilities of data assistant for research projects implemented at the Sweetwaters office. The successful candidates will be assigned to provide data support to multi-year projects conducting research in the community setting. This position is offered on a 12-month contrat.

MIN REQUIREMENTS

  • Grade 12
  • Demonstrated computer literacy.
  • Minimum 1 years’ experience in data entry, able to capture data efficiently and accurately.
  • Minimum 1 years’ experience in the research environment identifying data collection errors and facilitating corrections according to good clinical practice guidelines.
  • Able to understand and implement the data processing procedures for multiple projects as per the approved project protocol.
  • Able to engage and work closely within the component, and with project personnel to ensure the highest standards of data quality and adherence to the study protocol.
  • Willingness to work over weekends as and when required.
  • Ability to speak both isiZulu and English.

Preference will be given to applicants with:

  • 3-year tertiary qualification in a relevant field
  • Commitment to working as part of a multi-disciplinary research team.
  • Ability to work to strict deadlines.
  • Ability to problem solve, and to be well organized.

Ability to actively contribute to team performance and work independently

DUTIES AND REPONSIBILITIES

  • Primary point of contact for assigned projects, leading data processing and quality checking per the project protocol.
  • Supervise issue and receipt of study documentation.
  • Data transmission and data downloads from data collection and processing tools
  • Ensuring timely data entry within agreed benchmarks for completion and data quality
  • Filing and document management and archival for assigned projects.
  • Identifying and flagging missing data for resolution
  • Query resolution and reporting
  • Quarterly data audits

APPLY HERE

Leave a Comment