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Data and Scenario Modelling Expert

NTU International A / S

Vicenza

In loco

EUR 60.000 - 80.000

Tempo pieno

Ieri
Candidati tra i primi

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Descrizione del lavoro

A leading company in consultancy is looking for Data and Scenario Modelling Experts in Health Systems for short-term assignments. The role involves developing models for future health workforce demand, assessing data quality, and supporting policy decisions with quantitative analysis. Ideal candidates should have a master's or doctoral degree and substantial experience in health systems.

Competenze

  • 7+ years in forecasting, modelling, or decision support in health systems.
  • Knowledge of HRH indicators and planning methodologies is a strong asset.

Mansioni

  • Design and implement scenario-based models for projecting health workforce demand.
  • Conduct assessments of data availability and system readiness.
  • Provide recommendations on data collection strategies.

Conoscenze

Forecasting
Modelling
Data Analysis

Formazione

Master’s or doctoral degree in health information systems
Statistics or related fields

Strumenti

Scenario planning tools
Dynamic modelling environments

Descrizione del lavoro

Location : Europe

Estimated Workload : Short-term assignments / task-based consultancy

About the Opportunity : We are creating a pool of Data and Scenario Modelling Experts – Health Systems for a new FWC Contract : EC-SG REFORM / 2025 / OP / 0001 : Provision of consultancy services to support the design, development, implementation, monitoring and evaluation of structural reforms in EU Member State. Experts in this pool will be contacted for specific assignments as they arise. If you have relevant experience we encourage you to apply.

Key Responsibilities :

  • Design and implement scenario-based models for projecting future health workforce demand and supply.
  • Conduct assessments of data availability, quality, and system readiness.
  • Provide recommendations on data collection strategies and information system improvements.
  • Support technical input for policy decisions using quantitative and qualitative modelling.

Qualifications :

  • Master’s or doctoral degree in health information systems, statistics, or related fields.
  • 7+ years in forecasting, modelling, or decision support in health systems.
  • Experience with scenario planning tools and dynamic modelling environments.
  • Knowledge of HRH indicators and planning methodologies is a strong asset.
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