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Program Manager / Research Associate - Knowledge & Modelling Infrastructure

Humanis AG

Suiza📅 16/8/2026

Descripción

--- base: / meta-keywords: meta-viewport: width=device-width, initial-scale=1.0 title: Program Manager / Research Associate - Knowledge & Modelling Infrastructure --- Program Manager / Research Associate \- Knowledge \& Modelling Infrastructure ============================================================================= A global knowledge and analytics team is seeking a highly motivated Program Manager / Research Associate to strengthen its analytical, modelling, and knowledge?infrastructure capabilities. The role combines rigorous economic research, statistical modelling, and the development of scalable, data?driven systems that support strategic decision?making across global and country?level portfolios. The successful candidate will contribute to the design, implementation, and refinement of indicator systems, forecasting models, and knowledge?management tools. The position sits at the intersection of research, data engineering, and strategic analysis, helping build the methodological backbone of the organization’s monitoring and evaluation architecture. Program Manager / Research Associate – Knowledge \& Modelling Infrastructure ============================================================================== ### Your tasks * Design and maintain monitoring?indicator systems to track progress across diverse programmatic portfolios. * Build, automate, and document structured knowledge databases and reporting tools using reproducible workflows and version control. * Support the integration of retrieval?augmented generation architectures and database?backed systems. * Contribute to quarterly indicator updates and milestone?tracking processes. * Design and estimate modelling templates for expected programmatic outcomes. * Develop structured elicitation protocols and expert?judgment frameworks. * Build and apply statistical modelling workflows for country case studies, including specification, estimation, validation, and aggregation. * Translate modelling outputs in
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