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Postdoc in Statistical Genetics at Human Technopole Human Technopole in Italy
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 7, 2026
Country
Italy
University
Human Technopole

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About this position
Postdoc in Statistical Genetics at Human Technopole, Milan, Italy. The Casale Lab is launching at Human Technopole and is building AI methods that transform population-scale human data into mechanistic models of disease. This postdoctoral role sits at the intersection of statistical genetics, machine learning, and mechanistic biology, with a strong emphasis on connecting human genetic variation to biological function.
The successful candidate will work with population-scale human genetics alongside single-cell, spatial, and multimodal molecular data to identify the cells, cellular states, and biological programs through which genetic variation influences disease. The lab highlights opportunities to develop next-generation methods, drive biological discovery across molecular and clinical datasets, and build an internationally recognized research profile through publications and conferences.
Eligibility highlights: a PhD in Statistical Genetics, Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or a related quantitative discipline; a strong publication record in computational biology/genetics/biomedical journals; excellent Python programming and research software development experience; and strong knowledge of modern AI, including deep learning and representation learning. Preferred experience includes GWAS, biobanks, population-scale genetics, single-cell or spatial transcriptomics, functional genomics, Bayesian statistics, causal inference, probabilistic modelling, and foundation models.
Location: Human Technopole, Milan (Italy). Formal recruitment opens: September 7, 2026. Applications will be submitted through the official Human Technopole recruitment portal and require a CV, motivation letter, and two referees. Informal enquiries are welcomed in advance via casalelab.jobs@gmail.com.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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