Position Overview
We are seeking a highly motivated Statistician / Applied Mathematician / Data Scientist to contribute to the development and validation of predictive models of organ failure in critically ill patients. The position is part of the European INDICATE project and focuses on translational research at the interface between medicine, statistics, and artificial intelligence.
Scientific Scope
The INDICATE project focuses on predicting major organ failures in ICU patients using multimodal data (clinical, biological, and high-frequency physiological signals). The goal is to identify early predictive signatures of organ dysfunction (renal, respiratory and cardiovascular) and support personalized decision-making in critical care.
Methodological Framework
The candidate will implement and validate advanced statistical and machine learning models, including supervised learning, time-series modeling, and trajectory analysis. Key aspects include feature engineering from high-frequency data, handling missing data, model calibration and discrimination assessment, and external validation when available.
Required skills
- Strong background in statistics, applied mathematics, or data science
- Experience in predictive modeling and machine learning
- Programming skills: Python (mandatory), SQL; Java/C++ is a plus
- Interest in biomedical applications and clinical data
Contract and Conditions
- Fixed-term contract (18 months)
- Full-time (100%)
- Location: INSERM U942, Paris (AP-HP / Université Paris Cité)
- English required; French not mandatory
Application process
To apply for this position, please send your CV and motivational letter to contact Dr. Benjamin Deniau via benjamin.deniau@aphp.fr and Ms. Fatima Zunara via fatima.zunara@aphp.fr.
