Data Manager at Aga Khan University Tanzania – January 2026

Overview

The Aga Khan University (AKU) is a private, autonomous and self-governing international University, with 13 teaching sites in 6 countries over three continents (www.aku.edu). An integral part of the Aga Khan Development Network (www.akdn.org), AKU provides higher education inseveral disciplines, carries out research relevant to the countries, and operates 7 hospitals and over 325 outreach clinics, all at international standards. It has close to 4,000 students and 14,000 staff. The University is both a model of academic excellence and an agent of social change. As an international institution, AKU operates on the core principles of quality, relevance, impact, and access.

You have a fantastic opportunity to work as a Data Manager for the Kikohozi Project at The Aga Khan University. Based in Dar es Salaam, Tanzania, this is a full-time role.

Data Manager

The Kikohozi Classifier project’s operational and scientific success will be greatly aided by the Data Manager, who will make sure that all data is secure, correct, and handled ethically. In addition to database building, this position oversees the data flow from collection to analysis and makes sure that institutional, national, and international standards are followed.

 

Position Responsibilities

• In partnership with ETH Lab at MUHAS, design, create, and manage a safe and user-friendly central project database to store cough sound recordings, clinical data, and metadata from 30,000 participants.
  Use data management solutions that facilitate effective data entry, cleansing, retrieval, and quality assurance.
  Verify that project data complies with the training and validation dataset needs of AI/ML teams.
  Create and keep an eye on data quality control processes to find and fix errors, inconsistencies, and incomplete records.
  To preserve integrity and dependability across several data gathering locations, conduct routine data audits.
• Give research assistants direction and instruction on standardized data entry and collection procedures.
  Assure adherence to institutional, legal, and ethical standards, such as participant confidentiality, data-sharing agreements, and GDPR-equivalent principles.
  To safeguard sensitive participant data, oversee data encryption, secure storage, and limited access procedures.
  Prepare for and assist with data management-related ethical evaluations, audits, or inspections.
  Make that datasets are comprehensive, organized, and prepared for statistical and AI/ML modeling by processing and cleaning them for analysis.
  Create summaries, descriptive reports, and preliminary datasets to assist researchers and analysts with decision-making and progress reporting.
  Make sure reports on datasets for publications, presentations, and donor reporting are delivered on schedule.
  Teach junior employees and field research assistants best practices for data management, protection, and collecting.

• Attend project meetings to give updates on risks, difficulties, and developments pertaining to data.
  To match data requirements, work closely with project investigators, the AI/ML development team, and partner universities (AKU, MUHAS ETH Lab, University of Warwick).
  In order to improve the rigor and dependability of research results, contribute to teaching AKU students data management skills and offer data management knowledge to active AKU research initiatives.

Professional Skills, Qualifications, and Experience

• Bachelor’s degree in computer science, Data Science, Biostatistics, Health Informatics, or related field
• Master’s degree (preferred) in Health Informatics, Epidemiology, Biostatistics, or Data Management.
• Professional training or certification in data management, database systems, artificial intelligence and machine learning model development or information security is an added advantage.
• Minimum 2-3 years of progressive project data management experience, including compliance with donor data management frameworks (e.g., UKRI, MRC, or similar).
• Technical Skills: Skilled in designing and managing databases (SQL, REDCap, MySQL, PostgreSQL), cleaning and preparing data for large multi-site studies, handling AI/ML data needs including unstructured data, and using visualization tools like Tableau and Power BI.
• Research and Data Governance: Excellent understanding of health research data workflows and compliance requirements (e.g., HIPAA, GDPR-like regulations). knowledgeable about data sharing procedures for multi-institutional collaborations, ethics approvals, access control, and data security.
  Quality Assurance and Compliance: Capable of developing and implementing quality assurance systems, conducting data audits and validation tests, and guaranteeing the accuracy, integrity, and repeatability of datasets for clinical research and AI/ML.
  Leadership and Collaboration: Skilled in working with diverse teams in research, clinical, AI/ML, and community contexts, as well as in training and managing junior data personnel.
  Communication and Reporting: Proficient in producing technical documents, reports, and concise summaries. adept at communicating risks, difficulties, and advancements to stakeholders while transforming complex data into usable insights.
• Problem-Solving and Adaptability: able to anticipate and address data obstacles in multi-site projects, adjust to new requirements and technologies, and use strong analytical abilities to troubleshoot data and technological issues.

How to Apply

Please email your application package, which should include an updated CV and an application letter, to hr.tanzania@aku.edu if you are qualified for this post. Only those who have been shortlisted will be contacted. Please visit http://www.aku.edu for more details.