Data Scientist | Job in Rwanda

### 📌 Résumé de l'offre Data Scientist | Job in Rwanda at Non precisé in Kigali. View the details for more information. **Détails clés :** - 💼 **Contrat** : Non spécifié - 📍 **Localisation** : Kigali - 🎓 **Niveau** : Selon profil - 🛠️ **Compétences** : design, SQL, hr, data, Communication, ai, excel, sql, Management, PostgreSQL, Python, Git, python --- Data Scientist Data Scientist University of Global Health Equity (UGHE) Butaro, Rwanda Description Position Title: Data scientist Reports to: Chair, Centre for Population Health Department: Centre for Population Health, University of Global Health Equity (UGHE) Location: University of Global Health Equity (UGHE), Butaro campus with occasional travel to Kigali, Rwanda Program overview The Centre for Population Health (CPH) at UGHE serves as a hub for field research, education, training, and community service to improve population health in Rwanda and beyond. Its flagship program, the Human Development and Demographic Surveillance System (HD2SS), established in rural Butaro in September 2025, functions as a primary field research platform for UGHE and external collaborators. The HD2SS generates longitudinal data on disease patterns and exposures, assesses the epidemiological and socio-demographic impacts of health conditions, and monitors trends in key human development indicators, among other outcomes. Position overview: The data scientist will be the technical lead of the Human Development and Demographic Surveillance System (HD2SS), responsible for database design, data pipeline development, and data systems maintenance. This is a broad, hands-on role requiring the ability to move between long-term development work, immediate operational needs, and research tasks. The ideal candidate has strong programming skills, experience with database design, a command of quantitative methods, and the drive to serve as the link between field operations, data processing, and research. Roles and responsibilities Data engineering and systems: Manage, modify, and expand HD2SS’ PostgreSQL relational database to meet the program’s long-term data collection needs. Oversee the extraction, transformation, and loading (ETL) of survey data. This includes developing new extraction and processing scripts and running the ETL pipeline on a daily basis. Implement a technical system to track vital events (births, deaths including cause of death using verbal autopsy, migrations) and link HD2SS data with external health facility records. Support the UGHE IT team in managing secure server and regularly backing up data. Field operations and data management: Support the HD2SS research and data team in the development and field implementation of data capture tools (specifically Survey Solutions). Strengthen protocols for data cleaning, quality control, and maintenance of unique study identifiers. Regularly meet with the research team and field data collectors to address data quality issues and improve data capture system. Collaborate with the HD2SS research team, cohort manager, and external partners (e.g., research stakeholders) to establish data collection procedures. Create tools or applications for the data team to perform routine data corrections, such as merging duplicate records. Data analysis and research Contribute to data analysis for publications, grant applications, presentations, and reports. Prepare clean, well-documented datasets for analysis and publications. Generate data visualizations and tabulations to support research activities. Implement algorithms for data de-duplication and linkages. Training and academic support Collaborate closely with the HD2SS research team to strengthen capacity in data management and analysis. Support MBBS and MGHD students through teaching assistance, particularly practicum support. Supervise and train interns and research team on data quality assurance Engage in project meetings and support the missions of the CPH and the Institute of Global Health Equity Research at UGHE to advance the science and practice of population health. Other responsibilities assigned by supervisor. Qualifications Required: Education and experience Master’s degree or above in computer science, statistics, or a related field with a strong quantitative and programming focus. (Equivalent experience may substitute for master’s degree.) 3+ years of hands-on experience in database design and data pipeline development, preferably in a research or public health settings. Strong programming skills, particularly in Python and SQL. Experience with relational database design and management. Competencies Ability to turn research objectives into technical tasks and independently execute on them, and to clearly communicate the tradeoffs and implications of different technical decisions to research colleagues. Ability to translate epidemiological and quantitative research concepts into technical decisions around database design and data pipeline development. Exceptional attent