Postdoc in AI for Biomedicine - Casale Group
Core
Develop next-generation computational approaches to understand cellular and tissue biology from single-cell, spatial, imaging, and multimodal molecular data to connect biological representations to mechanisms of human disease.
Role type
Postdoc in AI for Biomedicine (Research IC)
Builds
Testable hypotheses and mechanistic models of disease using population-scale human genetics and multimodal data
Domain
Biomedicine / Machine Learning / Computational Biology
Deliverable
research
Required skills
Python programming, machine learning, computational analysis of omics data, handling large-scale biological datasets, methodological innovation
Preferred skills
deep learning for multimodal biomedical data, experience with imaging/single-cell/spatial transcriptomics/EHRs, modern AI frameworks (PyTorch, JAX), human genetics knowledge
Technologies
PyTorch, JAX, Python
Responsibilities
Develop AI methods integrating human genetics and multimodal biology; drive biological discovery across population-scale, molecular, and clinical data; build an internationally recognized research profile through publications and conferences
Seniority
Postdoc (Early-career Researcher)
