Research engineer position in single-cell multi-omics integration

WorkplaceParis - Ile-de-France - France
Category
Position
Published
Closing Date
Post-doctoral position - Subtil Lab

Emploi

Équipe: Apprentissage automatique pour la génomique intégrative

Équipe: Hub de Bioinformatique et Biostatistique

Département de: Biologie Computationnelle

Centre: Centre de Ressources et Recherche en Informatique

Membre : Laura Cantini

Membre : Hervé Ménager

15

Mar 2026

Role : The Machine Learning for Integrative Genomics team, led by Laura Cantini, is recruiting a permanent research engineer. The successful candidate will carry out single-cell data analysis in the context of collaborations with wet-lab [...]

Role :

The Machine Learning for Integrative Genomics team, led by Laura Cantini, is recruiting a permanent research engineer. The successful candidate will carry out single-cell data analysis in the context of collaborations with wet-lab biologists, both on campus and with external partners. The role will primarily involve applying tools developed within the team, as well as standard single-cell analysis methods. In addition, the candidate will be responsible for the long-term maintenance of the team-s GitHub repositories and for addressing issues related to the tools developed by the team. If collaborations allow, time and support for an additional personal research project aligned with the team-s research will be encouraged.

Environment :

The Machine Learning for Integrative Genomics team, led by Laura Cantini, develops artificial intelligence tools for the integrative analysis of multiple single-cell data modalities, including scRNA-seq, scATAC-seq, and spatial transcriptomics. The team is part of the Department of Computational Biology and also holds a secondary affiliation with the Development Department, as well as an affiliation with CNRS. The recruited candidate will be affiliated 80% with Laura Cantini-s team and 20% with the Bioinformatics and Biostatistics HUB.

Information about the teams :

The Machine Learning for Integrative Genomics team : ?url=research.pasteur.fr%2F&module=jobs&id=52443" target="_blank" rel="nofollow">research.pasteur.fr/en/team/machine-learning-for-i...

The HUB :  research.pasteur.fr/en/team/bioinformatics-and-bio...

Degree : PhD in computer science, computational biology, bioinformatics or similar

Relevant skills :

Hard skills :

  • Python programming
  • familiarity with the fundamentals of machine learning and interest on methodological aspects
  • fluent English both spoken and written is required
  • prior experience with bulk and/or single-cell data analysis tools is a plus
  • previous experience in the management of collaboration with wet-lab biologists will be a plus


Soft skills:

  • team spirit
  • ease in communication
  • multitasking
  • problem-solving ability and effective time management
  • ability to work in autonomy on different projects


Contract : permanent

Start date : immediately

Salary : 50K€ - 55K€

Application : ?url=https%3A%2F%2Fhub-jobs2026.pasteur.cloud%2F&module=jobs&id=52443" target="_blank" rel="nofollow">?url=https%3A%2F%2Fhub-jobs2026.pasteur.cloud%2F&module=jobs&id=52443" target="_blank" rel="nofollow">https://hub-jobs2026.pasteur.cloud/

In your application, please refer to myScience.fr and reference JobID 52443.