Data and Scenario Modelling Expert

NTU International A / S; Pescara; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading consultancy firm is creating a pool of Data and Scenario Modelling Experts to support health systems reforms across the EU. The role involves designing and implementing models, assessing data quality, and providing strategic recommendations. This consultancy offers exciting short-term assignments for experienced professionals in health information systems to influence policy decisions through data-driven insights.

Competenze

• Master’s or doctoral degree in relevant fields.
• 7+ years experience in health system forecasting and modelling.
• Knowledge of HRH indicators is a strong asset.

Mansioni

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

Conoscenze

Forecasting

Modelling

Health Information Systems

Data Collection Strategies

Formazione

Master’s or Doctoral degree in Health Information Systems or Statistics

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.