Postdoc in Statistical Genetics - Casale Group
Core
Develop computational methods connecting human genetic variation to biological function using population-scale genetics and multimodal molecular data to identify cellular mechanisms of disease.
Role type
Postdoc in Statistical Genetics (Research IC)
Builds
Next-generation methods integrating human genetics and multimodal biology; high-impact biological discoveries.
Domain
Biomedical research / Statistical genetics / Machine learning
Deliverable
research
Required skills
Statistical genetics, Python programming, quantitative methods for large-scale genetic/molecular data, machine learning approaches
Preferred skills
GWAS, biobanks, population-scale genetics, single-cell/spatial transcriptomics, functional genomics, research software development, Bayesian statistics, causal inference, probabilistic modelling, modern AI architectures, foundation models
Technologies
Python
Responsibilities
Develop computational methods connecting human genetic variation to biological function; identify cells and biological programs through which genetic variation influences disease; drive biological discovery across population-scale, molecular, and clinical data.
Seniority
Postdoc (Early-career Researcher)
