Postdoc in Statistical Genetics: AI-Powered Disease Insights

Human Technopole; Milano; In loco; EUR 39.000 - 47.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation support

Flexible working policies

Parental support initiatives

Descrizione del lavoro

Human Technopole in Milan invites applications for a Postdoc in Statistical Genetics. You will develop computational methods linking genetic variation to biological function using population-scale genetics and multimodal data.

You will collaborate across AI, computational biology, and clinical groups, leading methodological innovation and driving high-impact discoveries. The role offers rich datasets, international collaborations, and a dynamic research environment.

Competenze

• PhD in Statistical Genetics, Computational Biology, or related quantitative discipline, or expected to be completed within the next six months.
• Strong publication record in leading computational biology, genetics, or biomedical journals.
• Excellent programming skills in Python.
• Strong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data.

Mansioni

• Develop computational methods that connect human genetic variation to biological function.
• Identify cells, cellular states, and biological programs through which genetic variation influences disease.
• Collaborate across AI, computational biology, and clinical groups to drive methodological innovation.
• Lead and contribute to high-impact biological discoveries using population-scale genetics and multimodal data.

Conoscenze

Python

Statistical genetics

Machine learning

Biostatistics

Formazione

PhD in Statistical Genetics or related quantitative field

Strumenti

Seurat

Bioconductor

Descrizione del lavoro

Human Technopole in Milan invites applications for a Postdoc in Statistical Genetics. You will develop computational methods linking genetic variation to biological function using population-scale genetics and multimodal data.

You will collaborate across AI, computational biology, and clinical groups, leading methodological innovation and driving high-impact discoveries. The role offers rich datasets, international collaborations, and a dynamic research environment.