Postdoct (M/F) position in the Development of Machine Learning Methods for Single-Cell Multi-Om[...]

Offer Description

Organisation/Company CNRS DepartmentBiologie du Développement et Cellules Souches Research Field Mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 8 Apr 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No

Single-cell high-throughput sequencing technologies generate unprecedented volumes of molecular data at cellular resolution, opening new avenues for the application of machine learning to fundamental biological problems. The postdoc (M/F) to be recruited to join the Machine Learning for Integrative genomics team at the Institut Pasteur as part of the ERC Starting Grant MULTIview-CELL, will be working on the development of a virtual tissue model bridging cell-cell communication and gene-gene interactions by exploiting spatial transcriptomics data and network-theoretic approaches.

Contract start date: May 1st 2026 or later depending on your availability.

Activities

• Design of a new mathematical method
• Monitoring and study of publications relevant to the field
• Programming/coding in Python (Pytorch)
• Presentation of results at conferences
• Interaction with team members and international collaborators

The Machine Learning for Integrative Genomics team ( - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant. The team is associated with the Institut Pasteur's Computational Biology Department, UMR3738 and the PRAIRIE Artificial Intelligence Institute. The team recently won ERC StG funding, which is the subject of this recruitment. The candidate recruited will be under Laura Cantini's hierarchical authority.

Degree: PhD in computer science, machine learning, or computational biology

We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both spoken and written is required.