Application Deadline: unavailable
The Data Manager is responsible for designing the PCC study databases for the quantitative and qualitative components of the study, managing electronic data entry and contributing to quality control efforts. Based in Lusaka province; reports to the Study Coordinator and Head of Data Processing.
Design, test and manage the study databases for the quantitative and qualitative components of the PCC study. Create the electronic questionnaires (Data Entry Forms). Create and manage the project data dictionary. Develop data extraction tools/ dashboard for close study monitoring. Develop and adhere to study data management plan. Ensure that data is backed up at all stages of the data collection process. Develop data quality reports and generate weekly queries to ensure that the study data are cleaned regularly. Assist with qualitative data entry, data management and analysis. Work with the Head of Data Processing and Quality Assurance/Quality Control Data Supervisors to ensure the quality of study data. Respond to ad hoc information requests from CIDRZ and MOH; channel requests from other parties through the MOH. As requested, provide monthly (minimum) updates to PCC study team and study partners such as health facilities, MOH. Monitor testing of new software versions; ensure central list of bugs and updates is maintained and that new software versions are not released into the field until critical bugs are corrected. Liaise with co-investigators and study staff member including CIDRZ & UCSF Analyst to run data queries and update data to support analysis. Support procurement of data-related items. Liaise with ICT Department and partners (e.g. consultants and mobile network providers) around data use, security and management needs. Support study sampling, SmartCare data extraction and updates. Support CIDRZ Data Analysis Department with skills and competency development, SOP creation and other contributions as requested
Qualifications and experience
Degree in Computer Science or a related field. Strong analytical and problem solving skills. Good understanding of SQL – have experience with MySQL or MS SQL Server. Experience working with health information is an added advantage. Experience in any of the the following programming language: Java, Python, C#. Able to work with minimal supervision. Experience with statistical analysis tools like R/STATA/SAS. Ability to meet tight deadlines. Strong interpersonal and communication skills. Minimum 3 years’ experience in data management. Experience with STATA/R/SAS.
Suitably qualified candidates are invited to apply; however only shortlisted candidates will be contacted. Please send application letter quoting the reference number above, relevant academic and professional certificates, and detailed CV with day-time telephone number(s) to: CIDRZ Human Resources Director, PO Box 34681, LUSAKA or email: email@example.com