Post-doc position in deep learning for genomics, Paris, France

The Computational and Quantitative Biology Lab at Sorbonne University in Paris has an opening for a Post-doctoral researcher to join E. Laine's team in an ERC-funded project to explore proteome diversification in evolution.

Our team focuses on the fascinating diversity of proteins. More specifically, the different protein versions or isoforms that can be produced from a single gene. How this diversity emerged and expanded in evolution, how it impacted complex behavioural traits such as vocal learning in humans and songbirds.

You will join an interdisciplinary and highly collaborative team. You will work alongside highly motivated scientists passionate about developing innovative computational and AI methods for understanding the fundamental mechanisms of life's machinery toward optimally guiding biological intervention.

Job description

Our ERC-funded project, PROMISE, aims at leveraging the landscape of protein isoforms across hundreds of millions of years of evolution with cutting-edge AI techniques to determine how proteins function and interact with one another in vivo. 

You will have a pivotal role in the project, at the cross-talk of -omics data integration, deep learning development, and application to a concrete biological system. You will have the opportunity to get involved in data collection and curation, in the development of deep learning architectures, and their adaptation and deployment for downstream use cases, in interpretability assessment and uncertainty quantification, and in database and online services set up and management. You will coordinate the building of a robust and maintainable framework for sharing the codes and data of the project.  

You will work in close collaboration with E. Laine (http://www.lcqb.upmc.fr/laine/), Associate Professor at Sorbonne University, S. Grudinin, researcher at the Jean Kunzmann Lab (Grenoble, France), and H. Richard, researcher at the Robert Koch Institute (Berlin, Germany).

Funding 

The position is fully funded for 3 years with a possible 1-year extension. The team benefits from excellent support thanks to an ERC Consolidator Grant. Salary will be commensurate to experience following Sorbonne University's pay scale. Start date is flexible but no longer than May 2024.

Environment

The multidisciplinary Laboratory of Computational and Quantitative Biology is located on the Jussieu Campus, in the center of Paris, France. We are part of the Institute of Biology Paris-Seine. We have connections with the Center for Artificial Intelligence and the Initiative for Interdisciplinary Research in Biology at Sorbonne University. We offer an outstanding scientific environment and we are committed to the advancement of a responsible science through an inclusive policy.

The team provides its members with many opportunities to collaborate with and receive feedback from an inter-disciplinary collaborative network of international researchers from complementary backgrounds and to take part in international community efforts. 

Apply: Send a motivation letter with your CV and the contact information of minimum two references to Elodie Laine: elodie.laine@sorbonne-universite.fr. Latest deadline for applications is 31 January 2024.