Research Associate - Knowledge & Modelling Infrastructure - [A016041]

Humanis AG; Zürich; Hybrid; CHF 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Flexible teleworking arrangements

Zusammenfassung

Humanis AG is seeking a Program Manager / Research Associate to strengthen 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 portfolios.

The position sits at the intersection of research, data engineering, and strategic analysis, helping build the backbone of the organization’s monitoring and evaluation

Qualifikationen

• Master’s degree in social science, economics, statistics, or a closely related quantitative discipline.
• 2 years of relevant professional experience.
• Demonstrated experience as a Research Assistant or in a comparable analytical role.
• Proven track record in statistical modelling and empirical research.
• Programming proficiency in R and Python.
• Familiarity with SQL and Bayesian modelling frameworks.
• Experience with reproducible research tools (e.g., Git, Quarto).

Aufgaben

• 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 into rigorous, decision-oriented analytical reports.
• Contribute to the development and communication of research agendas.
• Ensure high standards of reproducibility, documentation, and methodological transparency.

Kenntnisse

Statistical modelling

R

Python

SQL

Git

Quarto

DuckDB

English fluency

Ausbildung

Master’s degree in social science, economics, statistics, or related quantitative discipline

Tools

Stan

PyMC

Git

Quarto

DuckDB

Jobbeschreibung

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.

Research Associate – Knowledge & Modelling Infrastructure - [A016041]

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 into rigorous, decision?oriented analytical reports.
• Contribute to the development and communication of research agendas.
• Ensure high standards of reproducibility, documentation, and methodological transparency.

Your profile

• Master’s degree in social science, economics, statistics, or a closely related quantitative discipline.
• 2 years of relevant professional experience.
• Demonstrated experience as a Research Assistant or in a comparable analytical role.
• Proven track record in statistical modelling and empirical research.
• Programming proficiency in R and Python.
• Strong command of advanced statistical techniques.
• Basic knowledge of SQL.
• Familiarity with Stan, PyMC, or comparable Bayesian modelling frameworks.
• Experience with reproducible research tools (e.g., Git, Quarto).
• Familiarity with database systems (e.g., DuckDB) and API integrations.
• Fluency in English required.
• German proficiency at B1/B2 level highly desirable.
• Spanish and French good to have

The company offers

• A strategic role within an ambitious global and multi?country knowledge and modelling initiative.
• Substantive responsibility and intellectual ownership of analytical frameworks and systems.
• An environment characterized by methodological rigor and high analytical standards.
• Competitive remuneration commensurate with qualifications and experience.
• Flexible teleworking arrangements

This job is rather for younger candidate that are research assistant in a top tier university.

Humanis AG
Prime Tower · Hardstrasse 201 · 8005 Zürich
Telefon [phone] · www.humanis.ch