Deadline: Wednesday 21 September 2022
Pangaea Zimbabwe AIDS Trust (PZAT) is an independent Zimbabwean entity registered as a local Trust in August of 2012 (MA/909/2012). PZAT strives to transform the lives of people living with and affected by HIV by working to ensure their access to comprehensive HIV and sexual health services delivered in safe and supportive environments. PZAT has led and engaged in several programmatic and research activities focused on key affected populations in partnership with the MOHCC and academic, local and multi-national partners.
The Data Manager will be responsible for assuring data quality for a 5-year multi-national research study (CATALYST). They will develop data collection and database systems for organizing data to store, analyze, identify, and report data and trends. Using their programming skills, they will develop data queries and scripts they can use to generate periodic and ad hoc reports for the study team. They will identify discrepancies in the data and liaise with site study coordinators and data collectors to resolve and document them. Working closely with both national and international staff — including site staff, Data Managers in other countries, and the headquarters Lead Data Manager — this position must be an excellent communicator and dedicated to detailed documentation.
One year renewable upon satisfactory performance and availability of funding.
Key Duties & Responsibilities
The incumbent will:
Develop a country-specific data management plan; provides feedback on multi-national data management plan; Develop a secure database for tracking participants hosted on a local server; manages permissions and develops, follows and monitors adherence to strict procedures for access; Review all electronic data collection forms to ensure correct logic and that translated versions match English versions; meticulously documents and communicates to Lead Data Manager any discrepancies and/or requested changes; revises programming of forms upon instruction from Lead Data Manager; Develop logic checks/error specifications, tests data and performs user acceptability testing (pilot tests) to verify that error checks and programmed correctly; Work with field staff and Data Management Team to resolve data discrepancies identified during data verification and validation; Run scripts (daily, weekly, and monthly) on the study database to produce reports on study progress, adverse events, provide lists of contacts for the week to data collectors, and to facilitate selection of sub-samples; Along with entire study team, responsible for following all procedures outlined in the study protocol and study procedures manual and immediately reports any deviations; Establish and implement guidelines for the collection of data; Lead and/or assist in training data collection teams on data collection procedures; Manage study data collection equipment, including the loading, updating, testing, and troubleshooting of electronic data collection forms; assigning equipment to data collection staff; Ensure that data management plans and equipment used for the study adhere to all local and contractual regulations (e.g., national data privacy regulations, data sharing agreements, equipment purchased is 889 compliant; Liaise with field teams (Site Study Officers and/or data collectors), Country Study Coordinator and Lead Data Manager; Ensure adherence to policies that ensure the security and confidentiality of sensitive data, including adherence to FHI 360, sponsor, national and international standards and assists in providing data and documentation for Open Data submissions.
Strong understanding of relational database design and development; Strong knowledge of data management concepts, procedures and processes; Ability to program electronic data collection forms in ODK, RedCAP or similar; Sound knowledge of Structured Query Language (SQL); Strong critical thinking and problem-solving skills; Able to communicate in a clear, positive manner with clients and staff; Excellent teamwork skills; Experience managing data for clinical and non-clinical studies preferred; Fluency in English, fluency in (Shona or Ndebele) preferred
Qualifications, experience and competencies required
Bachelor’s Degree in Health Data Informatics, Data Science, Computer Science, Life science, Health Science, Information Management or related field; Master’s Degree would be an added advantage.
Interested candidates should submit their application letter and detailed CV, clearly stating the position being applied for in the subject section of the email to: email@example.com by close of business on Wednesday 21 September 2022. Only shortlisted candidates will be contacted.