Postdoctoral Fellow, Genomics & Single-Cell Epigenomics

CNRS - National Center for Scientific Research

France

Vor Ort

EUR 32.000 - 42.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

CNRS – Institut Necker Enfants Malades - Centre de Recherche invites a First Stage Researcher (R1) to design and conduct research on retrotransposons in gene regulation, using transcriptomic and epigenomic data. You will work with the RETROGEN team to apply sc/snRNA-seq and sc/snATAC-seq analyses, develop methods and contribute to publications.

Applicants should have a PhD in bioinformatics or related field and strong skills in R or Python, Linux, and reproducible pipelines.

Qualifikationen

  • PhD in bioinformatics, genomics, computational biology, or a related field.
  • Experience with single-cell and multi-omics analyses and statistical methods.
  • Strong programming and data analysis skills in R and Python; ability to design reproducible workflows.

Aufgaben

  • Design and conduct research on retrotransposons in gene regulation using transcriptomic and epigenomic data.
  • Analyze sc/snRNA-seq, sc/snATAC-seq, and multiome data and integrate public and internal datasets.
  • Develop statistical analyses and reproducible workflows; document methods, data, and code.
  • Collaborate with experimental biologists for validation and contribute to manuscript preparation and grants.

Kenntnisse

R
Python
Linux
HPC
RNA-seq
ATAC-seq
Git
English

Ausbildung

PhD in bioinformatics, genomics, computational biology, or related field

Tools

Nextflow
Snakemake

Jobbeschreibung

CNRS – Institut Necker Enfants Malades - Centre de Recherche invites a First Stage Researcher (R1) to design and conduct research on retrotransposons in gene regulation, using transcriptomic and epigenomic data. You will work with the RETROGEN team to apply sc/snRNA-seq and sc/snATAC-seq analyses, develop methods and contribute to publications.

Applicants should have a PhD in bioinformatics or related field and strong skills in R or Python, Linux, and reproducible pipelines.

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