Postdoc: Biostatistics & Multi-Omics Research Engineer

SFBI; Rouen; Vor Ort; EUR 42.000 - 52.000; Vollzeit

Zusammenfassung

The INSERM U1311 DYNAMICURE unit at Rouen invites applications for a Research Engineer or Postdoctoral Researcher in Biostatistics to join the MICROBIOSTHME project on severe infant asthma and preschool wheeze. The position is 24 months starting early 2027, based on Rouen campus with access to NGS and HPC resources.

Responsibilities include analysis of metatranscriptomic and transcriptomic data, multi-omic integration, longitudinal modeling, biomarker discovery, and co-supervision of students;

Qualifikationen

• PhD in biostatistics, computational biology, mathematics, or an equivalent field.
• Strong proficiency in R (required) and good skills in Python, the Linux/Bash environment, and the use of high-performance computing (HPC) clusters.
• Experience in NGS data analysis (RNA-seq, metagenomics, or metatranscriptomics) and multivariate statistics.

Aufgaben

• Analysis of respiratory metatranscriptomic data.
• Analysis of human transcriptomic data from the same samples.
• Statistical integration of multi-omic data (metatranscriptomic, transcriptomic, proteomic, and clinical data).
• Development of statistical models for the analysis of longitudinal data.
• Identification of microbial and immune biomarkers associated with different endotypes of preschool wheezing.
• Development of predictive models using statistical learning and machine learning.
• Authoring articles for leading international journals and presenting at conferences.
• Co-supervising master’s students or interns.

Kenntnisse

R programming

Python

Linux/Bash

HPC

Ausbildung

PhD in biostatistics

Tools

R

Python

HPC clusters

Jobbeschreibung

The INSERM U1311 DYNAMICURE unit at Rouen invites applications for a Research Engineer or Postdoctoral Researcher in Biostatistics to join the MICROBIOSTHME project on severe infant asthma and preschool wheeze. The position is 24 months starting early 2027, based on Rouen campus with access to NGS and HPC resources.

Responsibilities include analysis of metatranscriptomic and transcriptomic data, multi-omic integration, longitudinal modeling, biomarker discovery, and co-supervision of students;