6 дней назад
Postdoc in Statistical Genetics
43 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Postdoc in Statistical Genetics (AI/statistical genetics): Developing computational methods that connect human genetic variation with biological function using population-scale genetics and multimodal molecular data, with an accent on single-cell, spatial, and clinical datasets. Focus on identifying disease-relevant cells, cellular states, and biological programs through machine learning, causal inference, and mechanistic biology.
Location: Milan, Italy; onsite at the campus. Relocation support is available for researchers moving to Italy.
Salary: up to €43,000 per year.
Company
is a life science institute focused on biomedical discovery through human genetics, molecular data, clinical data, and AI.
What you will do
- Develop computational methods connecting human genetic variation to biological function.
- Integrate population-scale human genetics with single-cell, spatial, multimodal molecular, and clinical data.
- Identify cells, cellular states, and biological programs through which genetic variation influences disease.
- Drive methodological innovation at the intersection of statistical genetics, machine learning, and mechanistic biology.
- Collaborate with computational, biological, and clinical researchers across and international academic and industry networks.
- Build an internationally recognized research profile through publications, conferences, research exchanges, and interdisciplinary collaborations.
Requirements
- PhD in Statistical Genetics, Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or a related quantitative discipline, completed or expected within 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 large-scale genetic and molecular data.
- Familiarity with modern machine learning approaches, analytical thinking, scientific writing, and interdisciplinary collaboration.
Nice to have
- Experience with GWAS, biobanks, or population-scale genetics.
- Experience with single-cell data, spatial transcriptomics, or functional genomics.
- Experience developing research software for large-scale genomic or molecular datasets.
- Background in Bayesian statistics, causal inference, or probabilistic modelling.
- Familiarity with modern AI architectures and foundation models.
Culture & Benefits
- International and interdisciplinary AI, computational, biological, and clinical research environment.
- Access to population-scale human genetics and multimodal molecular and clinical datasets.
- Flexible working policies, competitive welfare provisions, and work-life balance initiatives.
- Parental support initiatives and relocation support for Italy.
- Three-year fixed-term contract under CCNL Chimico Farmaceutico, level B2.
Hiring process
- Submit a CV, motivation letter, and contact details for two referees.
- Expected start date: January 2027.
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