Descriptions

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: 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.

How to Apply: If you meet the requirements of this position, please send your application package, which should include an application letter and an updated CV, to [email protected]. Only shortlisted candidates will be contacted. For further information, please visit http://www.aku.edu.