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2 months ago

Statistical Geneticist (Genomics)

50 000€
Work type
fulltime
Grade
middle
English
c1
Country
Italy
Relocation
Italy
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

Text:
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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.

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