Data and Scenario Modelling Expert

NTU International A / S; Teramo; In loco; EUR 50.000 - 85.000; Tempo pieno

Descrizione del lavoro

A leading consultancy firm is establishing a pool of Data and Scenario Modelling Experts to support health system reforms across EU Member States. This role involves developing quantitative and qualitative models, assessing data quality, and providing strategic recommendations. Candidates should possess a Master’s or doctoral degree and over 7 years of relevant experience.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Forecasting

Modelling

Decision Support

Scenario Planning Tools

Dynamic Modelling Environments

Knowledge of HRH Indicators

Formazione

Master’s or Doctoral Degree in Health Information Systems, Statistics

Descrizione del lavoro

Location : Europe Duration :

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.