Data and Scenario Modelling Expert

NTU International A / S; Rimini; Remoto; EUR 50.000 - 70.000; Part-time

Descrizione del lavoro

A consultancy firm is seeking a Data and Scenario Modelling Expert for health systems to design and implement models predicting health workforce needs. The ideal candidate will have extensive experience (7+ years) in forecasting and modelling, along with a relevant Master's or Doctoral degree. This role involves short-term consultancy assignments primarily in the EU. Candidates are encouraged to apply if they meet these qualifications.

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 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

Data analysis

Scenario planning

Formazione

Master's or doctoral degree in health information systems or statistics

Descrizione del lavoro

Overview

Data and Scenario Modelling Expert – Health Systems

Location : Europe

Duration : Medium-term consultancy

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.