Job Title:  Data Officer – Prevention (2 Fresher Jobs)Â
Organisation: Makerere University Walter Reed Project (MUWRP)
Duty Station: Luweero and Nakasongola, Uganda
About Organisation:
Makerere University Walter Reed Project (MUWRP) is a non-profit biomedical research Organization, whose mission is to mitigate disease threats through quality research, healthcare and disease surveillance. MUWRP was established in 2002 by a Memorandum of Agreement between The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. (HJF) and Makerere University (Mak) to undertake medical research to test HIV vaccines. Over the years, MUWRP’s portfolio has progressively expanded to include vaccine research for Ebola and Marburg viruses, surveillance of influenza and influenza- like viruses and other emerging infections in humans and animals; also epidemiological, basic and implementation research in HIV treatment, care and prevention programs in the Districts of Kayunga, Mukono, Buvuma and Buikwe.
Job Summary:  The Data Officer – Prevention main responsibility will be to support the HIV prevention, care and treatment program in all M&E related program activities with specific focus on data quality and use including collection, summarizing, analysis, dissemination, storing and timely reporting of all data generated from the PEPFAR prevention Program. S/he will assess the current M&E systems, capacity of data staff and address the identified gaps through capacity building and technical support and conduct on site visits to provide technical support through coaching and mentorship for improved data collection, reporting and utilization and support understanding and compliance with M&E procedures.
Key Duties and Responsibilities:
- Improve quality of routine and adhoc program data and/reports through data audits, data cleaning and verifications on weekly, monthly and quarterly basis and ensure routine analysis for high level indicators
- Establish report tracking systems to improve completeness and timeliness of reporting
- Plan with program teams, sub grantee data officers, DHT and program technical advisors to ensure that sub grantee and district performance review meetings are conducted monthly and quarterly focusing on prevention indicators.
- Conduct routine cleaning of various systems (KP tracker, OVC tracker, UDOTS, OVCMIS. PrEP) to ensure quality data and reports are generated, no backlogs exist, and systems are used for program performance tracking and production of quality, reliable and accurate reports
- Work with the district Bio-statistician, CDOs, HMIS FP and Program data officer to forecast, quantify and distribute HMIS program and PEPFAR tools required to support data capture and reporting.
- Provide weekly analysis of surge indicators to the CBOs, sites and program teams to guide targeted community and facility level prevention interventions and monitor performance
- Weekly data reviews with sub grantee data teams to improve data collection and utilization of this site and other facilities on the mainland
- Build capacity of data teams supporting the OVC and prevention program in quality reporting for all indicators and data verification processes.
Qualifications, Skills and Experience:
- Bachelor’s degree in statistics, Quantitative Methods, Demography, Population Studies or any other relevant discipline from a recognized University. Additional training in Project Monitoring & Evaluation is required.
- A minimum of three years related experience, proven track record in M&E/ PEPFAR data management and reporting.
Required Skills:
- Strong skills in data analysis and vast experience in working with information systems promoted by the ministry of Health and PEPFAR e.g. DHIS2
- Strong skills in using GIS tools for data analysis and mapping
- Excellent written and oral communications skills.
- Ability to work collaboratively and independently to achieve set goals.
- Ability to meet very tight deadlines.
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How to Apply:
All qualified candidates are encouraged to apply online at the link below.
Click Here
Note:
- All qualified candidates are encouraged to apply online by submitting an application letter, resume, copies of academic certificates in a 1 PDF or word document, including three referees (who are not relatives) and one of which should be your current supervisor. Indicate their daytime telephone contacts and email addresses.
- Please specify location preference location
- Any form of canvassing will lead to disqualification
- Only shortlisted candidates will be contacted.
Deadline: 9th July 2024
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