Health Modeller

Main Responsibilities

Software development and analysis

• Contribute to the development of the software platforms, including the design of modular systems and the development of the relevant C++ code (software engineers/modellers);
• Contribute to the data analysis and modelling work including the design of innovative models to estimate input parameters (data scientists);
• Data management tasks related to the preparation of databases to be processed by the software: collect, update, clean and develop tools (Python) to process raw data to build harmonized databases (data scientists)
• Participate in the development of data processing tools used to analyse and disseminate output datasets (data scientists)
• Contribute to the documentation of the models and any newly developed code or model to keep track of the work and support the work of the other team members;
• Support the design of user interfaces, including a web-based tool for model dissemination.

Communication and liaison

• Provide expert input to and collaborate with other members of the team.
• Communicate with technical staff and analysts in countries and in other OECD Directorates, who are working with models or analysing data.
• Report on the work to the relevant OECD expert group(s) and at technical meetings.

Requirements

Ideal Candidate Profile

Academic background

• An advanced university degree in mathematics, statistics, engineering, computer science or another equivalent qualification. A multidisciplinary curriculum, with strong skills in statistics, applied mathematics, computer science and machine learning methods would be considered equivalent.
• Strong object-oriented coding in C++ and system design experience, or equivalent experience in Java or Python and a willingness to learn C++ are essential; at least two years of practical experience would be an asset;
• Experience in applying statistics and machine learning to research topics would be an asset;
• Demonstrated ability to develop computer simulation models would be an advantage;
• Experience of version control systems and associated platforms (Git, GitHub/Lab) would be an asset
• Broader programming skills, including web development skills, experience with Azure or AWS, would be an advantage;
• Knowledge of health economics or public health would be an asset.

Professional Background:

• At least two years of applied research and analysis, preferably in the area of health and health systems, acquired in a national administration, international organisation, university or research centre.
• Experience in collecting, interpreting and analysing statistics, ideally related to health and health system performance. Strong quantitative skills would be particularly desirable, and managing and analysing large datasets would be an advantage.
• Experience in working on health issues in different countries would be an asset.

Tools:

• Ability to represent data graphically in Excel and other visualisation tools.
• Knowledge of STATA, R and/or Python or similar advanced statistical software is desirable.