Postdoc: RNA-Driven 3D Genome & Spatial Genomics

IIT

Genova

Hybrid

EUR 35,000 - 40,000

Full time

2 days ago
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Benefits offered by this job

Private health care coverage
Tax-advantaged stipend up to 90%

Job summary

IIT in Genoa invites applications for a Postdoctoral researcher to study how RNA-dependent regulatory mechanisms shape chromatin architecture and genome organization in single cells. The project blends RNA biology, functional genomics, and spatial imaging with a strong emphasis on technology development.

The successful candidate will develop experimental approaches, perform perturbations, and connect single-cell measurements with FISH-omics and chromatin tracing.

Qualifications

  • PhD in Biotechnology, Biology, Molecular Biology, Biophysics, Physics, Structural Biology, or a related discipline.
  • Documented experience in multi-omics data analysis and biological interpretation.
  • Experience with functional perturbation approaches and advanced imaging.

Responsibilities

  • Develop and optimize experimental methods to investigate candidate RNAs with perturbations and assays.
  • Integrate RNA biology with single-cell spatial genomics workflows (FISH-omics, chromatin tracing).
  • Collaborate with bioinformatics and computational genomics teams to interpret data.
  • Interact with internal and external collaborators to perform multimodal spatial genomics experiments.
  • Present findings at conferences and publish in open-access journals.

Skills

RNA biology
Genomics
Advanced imaging
Independent collaboration

Education

PhD in Biotechnology or related field

Tools

CRISPR screening

Job description

IIT in Genoa invites applications for a Postdoctoral researcher to study how RNA-dependent regulatory mechanisms shape chromatin architecture and genome organization in single cells. The project blends RNA biology, functional genomics, and spatial imaging with a strong emphasis on technology development.

The successful candidate will develop experimental approaches, perform perturbations, and connect single-cell measurements with FISH-omics and chromatin tracing.

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