The Aga Khan University (AKU) is a private, autonomous and self-governing international university with 13 teaching sites in six countries over three continents. An integral part of the Aga Khan Development Network, AKU provides higher education across several disciplines, carries out research relevant to the countries it operates in, and manages 7 hospitals and over 325 outreach clinics at international standards.
Design, develop, and maintain a secure and user-friendly central project database for storing cough sound recordings, clinical data, and metadata from 30,000 participants.
Implement data management tools that support efficient entry, cleaning, retrieval, and quality monitoring of data.
Ensure compatibility of project data with AI/ML teams’ requirements for training and validation datasets.
Establish and monitor data quality control procedures to detect and resolve inconsistencies, errors, or incomplete records.
Conduct regular data audits to maintain integrity and reliability across multiple data collection sites.
Provide guidance and training on standardized data entry and collection protocols.
Ensure compliance with ethical, legal, and institutional standards, including GDPR-equivalent principles and participant confidentiality.
Oversee data encryption, secure storage, and controlled access to protect sensitive information.
Prepare for ethical reviews, audits, or inspections related to data management.
Process and clean data for analysis ensuring datasets are well-structured, complete, and ready for statistical and AI/ML modeling.
Support researchers by generating summaries, descriptive reports, and preliminary datasets for progress reporting and decision-making.
Ensure timely delivery of reports on datasets for publications, presentations, and donor reporting.
Train and mentor field research assistants and junior staff in best practices for data collection, management, and security.
Participate in project meetings to provide updates on data-related challenges, risks, and progress.
Collaborate closely with project investigators and partner institutions to align data requirements.
Contribute to teaching AKU students on data management techniques and enhance the rigor of research outputs.
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: Strong grasp of health research data workflows and compliance standards (e.g., GDPR-like regulations, HIPAA). Experienced in data security, access control, ethics approvals, and data-sharing processes for multi-institutional projects.
Quality Assurance and Compliance: Able to build and apply quality assurance systems, perform data audits and validation checks, and ensure accuracy, integrity, and reproducibility of datasets for AI/ML and clinical research.
Leadership and Collaboration: Experienced in training and supervising junior data staff and working effectively with multidisciplinary teams across research, clinical, AI/ML, and community settings.
Communication and Reporting: Strong communicator with the ability to produce clear summaries, technical documents, and reports. Skilled at turning complex data into actionable insights and presenting risks, challenges, and progress to stakeholders.
Problem-Solving and Adaptability: Capable of anticipating and resolving data challenges in multi-site projects, adapting to new technologies and requirements, and applying strong analytical skills to troubleshoot technical and data issues.
If you meet the requirements of this position, please send your application package, which should include an application letter and an updated CV, to hr.tanzania@aku.edu. Only shortlisted candidates will be contacted. For further information, please visit http://www.aku.edu.