Postdoc in Statistical Genetics for Disease Mechanisms

Human Technopole; Lombardia; On-site; EUR 39,000 - 47,000; Full time

Benefits offered by this job

Relocation support

Job summary

Human Technopole in Milan invites applications for a Postdoc in Statistical Genetics to develop computational methods linking human genetic variation to biology, using population-scale genetics with single-cell and multimodal data.

You will work at the intersection of statistical genetics, machine learning, and mechanistic biology, with access to world-class datasets and opportunities for international collaboration, contributing to high-impact discoveries.

Qualifications

• PhD in Statistical Genetics, Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or related quantitative discipline.
• Strong publication record in leading computational biology, genetics or biomedical journals.
• Excellent programming skills in Python.

Responsibilities

• Develop computational methods connecting human genetic variation to biological function.
• Utilize population-scale genetics with multimodal molecular data to identify cellular programs.
• Collaborate across interdisciplinary teams to enable high-impact biological discoveries.
• Lead methodological innovation and contribute to AI-driven science.

Skills

Statistical genetics

Machine learning basics

Scientific writing

Independent work

Education

PhD in Statistical Genetics or related field

Tools

Python

Bioinformatics tools

Job description

Human Technopole in Milan invites applications for a Postdoc in Statistical Genetics to develop computational methods linking human genetic variation to biology, using population-scale genetics with single-cell and multimodal data.

You will work at the intersection of statistical genetics, machine learning, and mechanistic biology, with access to world-class datasets and opportunities for international collaboration, contributing to high-impact discoveries.