Project Summary:

Real-world evidence (RWE) is transforming the way we investigate infectious diseases. This PhD project aims to harness the power of real-world data (RWD) to explore the epidemiology of respiratory pathogens, evaluate the impact of preventive or therapeutic strategies and inform public health policies.
RWE is increasingly being used to complement data generated from randomized controlled trials. For the industry, it can be incredibly valuable as it decreases the costs of product evaluation. Different regulatory authorities such as the European Medicines Agency (EMA) and US Food and Drug Administration (FDA) have acknowledged a larger role for real-world data (RWD) and RWE to support regulatory decision-making. Technological advances and the ubiquity of digital data collection have created a wealth of RWD in France and elsewhere. Through robust, efficient, and accurate analysis, researchers can harness the power of this data to drive transformative action and generate valuable insights.
This project will:

• Identify different RWD sources on infectious diseases
• Explore the interconnectivity between them
• Describe the strengths and weaknesses of the available data
• Analyse available epidemiological RWD
• Create a framework on how to leverage RWD to describe disease epidemiology and evaluate the acceptability and impact of new medicines

Job Description:

We are seeking highly motivated PhD candidates to develop this project based at the Center of Excellence in Respiratory Pathogens (CERP, https://cerp-epi.com/), Centre International de Recherche en Infectiologie (CIRI)-Université Claude Bernard Lyon 1, in Lyon, France. Funding will be granted for 3 years. The project will be conducted in an international and multi-disciplinary environment, spanning epidemiology, vaccinology, clinical research, and biostatistics. The candidate is expected to facilitate the interaction between data-driven insights and public health strategies.
The successful candidate should have experience in:

• Working with large databases
• Data analysis
• Epidemiology

Interested candidates, please send a CV and motivation letter to: marta.nunes@univ-lyon1.fr