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Research Engineer Position in Computational Functional Genomics and Single-Cell Multi-Omics

Join the Malouf Team at the Institute of Genetics and Molecular and Cellular Biology (IGBMC, Illkirch, France) in an ambitious translational research project aiming to decipher cell plasticity and mechanisms of resistance to immunotherapy through integrative functional genomics approaches.

We are seeking a highly skilled and motivated Research Engineer in Computational Biology to lead the bioinformatic and integrative multi-omics analyses of the project.

 

Position Details:

Start Date: May 2026
Contract: 1-year fixed-term contract, renewable up to 3 years
Position: Research Engineer (Ingénieur de Recherche)
Field: Computational Functional Genomics / Single-Cell Multi-Omics

Reference
RCT001_GB

Contract type
CDD

Publication date
02/23/2026

About the Malouf Team:

The Malouf Team investigates the genetic and epigenetic foundations of renal cell carcinomas and rare cancers, with a strong focus on functional genomics, epigenetic reprogramming, and single-cell analyses. Our research integrates in vitro and in vivo models, genome-wide approaches, and clinical samples to uncover molecular mechanisms driving tumor progression and resistance to therapy. Our objective is to generate mechanistic insights with direct translational relevance for patients.

Institute of Genetics and Molecular and Cellular Biology (IGBMC):

IGBMC is one of the largest biomedical research institutes in France, bringing together Inserm, CNRS, and the University of Strasbourg. The institute provides state-of-the-art technological platforms in genomics, proteomics, imaging, and bioinformatics, and fosters interdisciplinary research within a dynamic international environment.

Activities

Responsibilities:

  • Design and implement robust, reproducible computational pipelines for single-cell and bulk multi-omics analyses
  • Perform unsupervised clustering, trajectory inference, dimensionality reduction, and cell-type annotation
  • Conduct integrative analyses of transcriptomic, epigenomic, and 3D chromatin datasets
  • Model regulatory networks and cell–cell communication
  • Contribute to statistical modeling and machine learning approaches when relevant
  • Ensure reproducibility, documentation, and version control of analyses
  • Interact closely with experimental biologists and clinician-scientists
  • Contribute to manuscript preparation and figure generation

Further informations

We Offer:

  • An ambitious, high-impact translational genomics project
  • A collaborative environment with molecular biologists, clinicians, and bioinformaticians
  • Access to state-of-the-art technological platforms
  • Strong support for publication and scientific visibility

Application procedures

How to Apply:

Candidates should send their application as a single PDF to:

Solène SCHMITT (untereis@igbmc.fr)

Including:

  • Curriculum vitae with publication list
  • Short summary of research achievements and technical expertise
  • Motivation letter (max 1 page)
  • Names and contact details of 2 referees

Applications will be reviewed on a rolling basis until the position is filled.

Join us to contribute to mechanistic discoveries in cancer genomics and precision oncology.

Related to :

Missions

The project aims to elucidate the role of cell plasticity including long-non coding RNA and its implication in shaping tumor microenvironment and resistance to immune checkpoint inhibitors. The candidate will lead integrative analyses combining:

  • Single-cell RNA sequencing (scRNA-seq)
  • Transcriptomic and epigenomic datasets
  • Chromatin interaction data (e.g., Hi-C, Capture-C)
  • RNA–chromatin interaction datasets
  • Proteomic data

A central objective is to characterize tumor microenvironment composition, ligand–receptor interactions, regulatory networks, and the potential involvement of identified targets in 3D genome organization and transcriptional control.

Profil

Essential Requirements:

  • Ph.D. in Computational Biology, Bioinformatics, Genomics, Systems Biology, or related field
  • Strong expertise in single-cell RNA-seq analysis and multi-omics data integration
  • Solid background in functional genomics and epigenomics
  • Experience with chromatin organization and 3D genome data (Hi-C, Capture-C or related)
  • Advanced programming skills in R and/or Python
  • Experience with workflow management systems (e.g., Snakemake), HPC environments, and containerization
  • Strong statistical background
  • Experience in reproducible research practices and Git-based development
  • Fluency in English

Preferred Qualifications:

  • Experience with ATAC-seq, ChIP-seq or multiome data
  • Knowledge of regulatory element analysis and enhancer–gene modeling
  • Familiarity with machine learning / deep learning frameworks
  • Experience in translational genomics projects

Required Personal Skills:

  • Scientific rigor
  • Autonomy
  • Proactivity
  • Ability to work in a multidisciplinary team
  • Strong communication skills