DATA MANAGER/ANALYST – 1 POSITION
Reporting to: TB Prevalence Survey Coordinator
Period: Short-term contract
Position Objectives:
The purpose of this job is to lead and effectively manage the Central Data Management Unit (CDMU) under the UPS TB prevalence survey project in line with the study protocol and Manual of operations.
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Specific assignment
- Lead and manage the Central Data Management Unit (CDMU).
- Coordinate all steps in data management
- Design data capture, entry, analysis, and reporting tools as may be required by the Epidemiologist, Survey Coordinator and/or the PI and routinely compile data files
- Maintain a master database the individual survey questionnaire, CXR register, the TB suspect register, TB lab results databases and HIV central lab results database.
- Verify raw data sent from the field and other data sources (Lab/Radiology/medical) using the different logbooks
- Generate and transmit data queries to field teams for resolution
- Compile patients with x-ray findings and their symptomatology, bacteriological results to medical panel for case adjudication.
- Receive, merge, clean, validate data from other data bases (Lab, field, and Radiology) and maintain an overall central database for the survey
- Check validated data files regularly for systematic errors (cleaning);
- Be directly responsible for the validation of the 100% double entered data files
- Resolves all data related issues raised with the datasets
- In collaboration with field teams, review of TB Survey data management plans, quality control plan, Standard Operating Procedures (SOPs) and work practices that will deliver accurate, timely, consistent, and quality data.
- In collaboration with data analysts, initiate and send data query logs to the data collection teams for correction.
- Back up CDMU data base online on Google drive (or drop box) and on external drive on daily basis.
- Compile and submit reliable analysis summaries/tables and data management reports summarizing progress in data entry, data validation and cleaning etc for the Survey Implementation Team (SIT).
- Generate routine data Quality Control, status, and summary reports
- Support the development and improvement of the existing data management manuals and training materials for the TB survey
- Carry out data analysis of the survey data
- Respond to all data management requests and ensures that all data quality standards are implemented
- Keep all data that bear personal information under lock and key and all electronic databases under a password and be encrypted.
- Immediately Inform the Survey Coordinator once a smear-positive or a culture-positive TB case is reported from the laboratory, or a TB case is reported by the medical panel.
- Attend TB Survey Implementation team (SIT) weekly meetings
- Ensure safety of all data/information handed over to you for verification
- Ensure that data is maintained in both soft and hard copies
- Report any problems encountered in data management to data consultant and the Survey Coordinator
- Attend required data entry trainings and meetings and provides input to enhancement of data systems
- Manage and train other staff hired to the data management unit
- Follow survey protocol and manual of field operations in all data management procedures and always keep all study information confidential.
- Any other duties as may be assigned from time to time by the Epidemiologists, Survey Coordinator or PI.
Educational Requirements and Qualifications:
Bachelor’s degree is either Statistics, Computer Sciences, information systems or the equivalent and a postgraduate training related to quantitative data management. Must have an experience in electronic data management, being able to manage data from various sources and able to conduct preliminary data analysis.
How to apply: Interested persons should send their applications with current CV, stating two referees and their contacts to the Dean, Makerere University School of Public Health, not later than Monday, October 03, 2022, 5.00 pm via the application links below.
Data Manager: https://forms.gle/QFj6F3uckdigXpkK9