Senior Manager Specialist at Rwanda bio medical center (RBC) | Deadline 19 November 2025

This position reflects advanced leadership in data science, strategic thinking, mentorship, and innovation in public health intelligence. The Senior Data Scientist will lead advanced data analytics, machine learning, and artificial intelligence efforts to generate actionable insights from health data, supporting Rwanda’s public health policy, surveillance, and emergency response. This position plays a strategic role in modernizing the national health intelligence ecosystem and strengthening the country’s public health data science capacity. Key Duties and Responsibilities A. Strategic Data Science Leadership: – Lead the design and implementation of data science strategies, tools, and standards across the Center of Excellence. – Identify high-impact public health problems that can benefit from advanced analytics, predictive modeling, and machine learning. – Guide data-driven decision-making across surveillance, research, health policy, and programmatic work. B. Advanced Analytics and Modeling: – Develop and oversee implementation of complex statistical models and algorithms for trend analysis, disease forecasting, and risk prediction. – Lead the integration of diverse datasets (e.g., epidemiological, environmental, demographic, digital) for deeper health system insights. – Collaborate on development of real-time outbreak detection tools and early warning systems using AI/ML. C. Data Governance and Architecture: – Support data management best practices, including data quality, privacy, ethics, and interoperability. – Contribute to designing scalable data pipelines, data lakes, and architecture to support national health data analytics platforms. – Ensure adherence to data protection regulations and responsible AI use. D. Supervision, Mentorship, and Capacity Building: – Mentor and supervise junior data scientists, analysts, and data engineers within the Center. – Build national capacity in health data science through training, coaching, and curriculum development in collaboration with academic institutions. – Provide technical guidance to teams within RBC, MOH, and partner organizations on data analysis and modeling. E. Innovation, Partnerships, and Communication: – Drive innovation through application of AI, geospatial analysis, and big data technologies in public health. – Represent the Center in high-level technical discussions with national and international stakeholders Communicate results to both technical and non-technical stakeholders through reports, dashboards, publications, and presentations.