Post-Doctoral Researcher in Biostatistics, Epidemiology, and Applied Mathematics

Core responsibilities:

• Analyze early available data and synthesize collective expertise to develop quantitative tools for early risk assessment of emerging respiratory viruses
• Conduct quantitative analysis of multidisciplinary surveys on health crisis definition and evaluation
• Perform systematic literature reviews and estimate key bio-clinical and epidemiological parameters
• Develop innovative metrics combining advanced statistics, mathematical epidemiology, and machine learning
• Design a computer-based decision support tool for public health actors

This role contributes to strengthening research and healthcare systems' capacity to respond early, robustly, and proportionally to the emergence of new respiratory viruses, helping prevent future pandemics and health crises.

Required qualifications:

• Advanced knowledge in biostatistics, applied mathematics, and quantitative epidemiology
• Solid theoretical understanding of machine learning and deep learning algorithms
• Minimum elementary knowledge in microbiology, infectiology, and public health
• Mastery of at least one programming language (R or Python) with familiarity with the other
• Advanced level in scientific computing, statistical analysis, and data visualization
• PhD in biostatistics, quantitative epidemiology, applied mathematics, or health informatics
• B2 or C1 level in English

The organization is committed to parity and professional equality, diversity, and supporting employees with disabilities. It maintains an active policy on working conditions with a focus on work-life balance and has received the European HR Excellence in Research label.