"FIMM-EMBL Group Leaders in Data Science and AI for Molecular and Health Data"

We are seeking outstanding data scientists who will establish independent research groups and contribute to the development and application of cutting-edge statistical and machine learning methods in molecular medicine and population health.

This group leader search is for early-stage group leaders with significant international experience during their PhD and postdoc periods. The selected group leaders are expected to initiate a new independent research program.

The positions are targeted to researchers working at the interface of:

• statistical methodology,
• machine learning and artificial intelligence,
• large-scale molecular and health data.

We welcome applications from candidates whose research focuses on either:

1. Methods development

Designing novel statistical, machine learning, or AI methodologies for biomedical data, including but not limited to:

• causal inference and clinical prediction,
• representation learning for multi-modal biological data,
• uncertainty quantification, robustness, and calibration,
• interpretable and trustworthy AI,
• scalable methods for population-scale cohorts and biobank data,
• integration of molecular, imaging, text and clinical data.

2. Innovative application of advanced methods

Applying state-of-the-art statistical and ML approaches in transformative ways to:

• large population cohorts and biobanks (e.g. FinnGen),
• genomics, proteomics, metabolomics and multi-omics,
• electronic health records and national health registries,
• disease risk prediction, stratification, and progression modeling,
• biomarker discovery and therapeutic target identification.