General Summary

The Data clerk will support entry of beneficiary level data into electronic and paper-based systems to always ensure establishment of high-quality records.
 

Key Responsibilities

Key duties and responsibilities
•    Review data tools submitted by the community team for completeness.
•    Check source documents/ filled forms for accuracy and completeness.
•    Support safe storage of beneficiary records and always promote confidentiality.
•    Establish systems that allow for easy retrieval and archiving of OVC files within CSO records rooms.
•    Support field data collection exercises whenever necessary.
•    Prepare, compile and sort filled forms for data entry.
•    Obtain further information for incomplete documents and update data whenever necessary.
•    Accurately enter data from source documents/ forms into Database.
•    Analyze any data entry errors and address with district staff and M&E
 

Academic Qualifications

• Diploma or bachelor’s degree in any data related field.
• Basic computer literacy including Word processing, Excel, and Power point is a must.

Person Specification

• Diploma or bachelor’s degree in any data related field.
• Basic computer literacy including Word processing, Excel, and Power point is a must.
• Up to date technical knowledge of the OVC Management Information System
• Understands client confidentiality and exhibits high level of ethical conduct.
• Has Experience in using information systems including Uganda EMR, DHIS2, Excel, Kobo collect, and any other data management systems.
• Willing to learn and is self-driven.
• MUST Indicate location of Residence/ preference as per the vacancies indicated in either Masindi, Kagadi or Nebbi

 

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More Details

Job Code: DC-NMK-001
No of Position: 3
Station: Nebbi, Masindi, Kagadi
Classification: Volunteer
Duration: 10 Months
Reports to: M&E ASSISTANT
Posted Date: 2024-11-11 10:39:04.000
Closing Date: 2024-11-22 17:58:00.000

Volunteer Data Clerk (3)

The Data clerk will support entry of beneficiary level data into electronic and paper-based systems to always ensure establishment of high-quality records.
 

Volunteer Data Clerk (1)

The Data clerk will support entry of beneficiary level data into electronic and paper-based systems to always ensure establishment of high-quality records.

Post-doctoral research fellow (1)

Background

The Infectious Diseases Institute (IDI) is part of the Centers for Antimicrobial Optimization Network (CAMO-Net) awarded by Wellcome Trust (#226692/Z/22/Z) which is a multidisciplinary global collaboration with institutions in other countries (UK, India, South Africa and Brazil) to address the impact of Antimicrobial Resistance (AMR) on human health. The CAMO-Net Uganda hub is seeking a highly motivated and skilled individual with expertise in machine learning, statistics, and predictive modeling to join our research team. The successful candidate will complement ongoing efforts to develop and implement machine learning models aimed at predicting clinical outcomes in patients with bacterial infections. This role is ideal for someone passionate about applying computational techniques to solve real-world healthcare challenges, particularly in the context of infectious diseases.