Postdoc In Molecular Epidemiology (Statistical Genetics)
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Описание вакансии
TL;DR
Postdoc in Molecular Epidemiology-Statistical Genetics: Leading major research projects to understand the genetic architecture of molecular traits and their interaction with the environment with an accent on high-impact scientific publications. Focus on designing and leading analyses to integrate genetic and molecular data, developing pipelines for complex datasets, and collaborating within large-scale international consortia.
Location: Must be based in Milan, Italy
Salary: up to € 43.000
Company
is a rapidly expanding life science institute in Milan dedicated to accelerating biomedical discovery and improving human health through cutting-edge research.
What you will do
- Design and lead analyses integrating genetic and molecular data from large-scale epidemiological datasets.
- Develop and implement pipelines for cleaning and integrating complex genetic and molecular phenotype data.
- Collaborate with epidemiologists and international researchers to contribute to large-scale consortia and meta-analyses.
- Draft manuscripts and reports for high-impact scientific publications.
- Contribute to grant applications and the establishment of new research projects.
- Supervise MSc and PhD students and participate in the Centre’s training and outreach programs.
Requirements
- PhD Degree in a relevant scientific field (e.g., genetic epidemiology, statistical genetics, biostatistics) or expected within 6 months.
- Strong understanding of statistical methods for high-dimensional data, including GWAS, Mendelian Randomization, and co-localisation.
- Proficiency in Python or R for large-scale dataset manipulation.
- Strong quantitative skills and a track record of scientific publications.
- Fluency in English.
- Ability to work independently and collaboratively in an international environment.
Nice to have
- Experience in gene expression QTL or protein QTL studies.
- High-level report writing and presentation skills.
Culture & Benefits
- International and dynamic research environment.
- Competitive welfare provisions and parental support initiatives.
- Relocation support and attractive tax benefits for researchers moving to Italy.
- Commitment to work-life balance and flexible working policies.
- Dedicated training, mentoring, and learning opportunities.
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