Statistical Geneticist (Genomics)

TL;DR

Statistical Geneticist (Genomics): Developing robust analytical strategies and conducting advanced statistical genetics analyses to uncover biological mechanisms of health and disease with an accent on multivariate phenotypes and multi-omics integration. Focus on leading GWAS, polygenic risk scores, and deriving quantitative representations of complex phenotypic profiles.

Location: Based in Milan, Italy

Salary: Up to €50,000 gross annual salary + €2,000 welfare

Company

International research institute dedicated to advancing human health through interdisciplinary life science research.

What you will do

• Lead advanced statistical genetics analyses, including GWAS, polygenic risk scores, and Mendelian randomisation, using large-scale genomic and clinical datasets.
• Advise research group leaders and junior analysts on statistical, computational, and AI-based approaches to address biological questions.
• Translate complex research questions into robust, reproducible analytical strategies, including study design and pipeline development.
• Develop and validate methods for deriving embeddings and latent variables for multivariate traits and disease trajectories.
• Review analytical plans and code to ensure methodological rigour, reproducibility, and best practices in version control.

Requirements

• PhD in Statistical Genetics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative discipline.
• Hands-on experience in statistical genetics and the analysis of large-scale human genetic datasets.
• Strong programming skills in R and/or Python and experience with Linux/HPC environments.
• Experience with statistical genetics software such as PLINK, REGENIE, or GCTA.
• Fluency in spoken and written English.
• Must be based in or able to relocate to Milan, Italy.

Nice to have

• Experience with multi-omics and/or single-cell datasets.
• Experience applying machine learning or AI approaches to biological data.
• Experience with reproducible research practices and version control (Git/GitHub).
• Previous experience mentoring or supervising junior researchers.

Culture & Benefits

• International and dynamic workplace with competitive welfare provisions.
• Flexible working policies and relocation support.
• Attractive tax incentives for researchers moving to Italy.
• Strong emphasis on work-life balance and parental support initiatives.