A 12-month Engineer Assistant position is available starting at the beginning of 2024 in the "Protein Maturation Cell Fate and Therapeutics" group at I2BC in Gif Sur Yvette (https://www.i2bc.paris-saclay.fr/spip.php?article1), located 20 km from Paris, France. Background: N-terminal protein modifications (NPMs), particularly the earliest ones, are critical cellular processes influencing the physio-pathology of any organism. These earliest NPMs involve the N-terminal methionine excision process (NME) and several acylations, including N-terminal acetylation (NTA) and N-terminal Myristoylation (N-MYR). Catalyzed by specific enzymes, these modifications are mostly cotranslational and occur in all cellular compartments where protein synthesis takes place (e.g., cytosol, mitochondria, and plastids). The hosted team focuses on elucidating the fundamental mechanisms, roles, and impacts on protein fate of these essential NPMs, concurrently engaging in therapeutic applications. Using different model organisms (bacteria, yeast, mammal cells, and even plants), the team produces data from various high-throughput technologies, incorporating quantitative parameters (e.g., extent of modifications on the same site) to describe how each of these NPMs work and evolve in a given cell environment and in response to biotic and abiotic stresses. Project: We are seeking an Engineer Assistant to support the major ongoing projects of the team. Therefore, we are looking for a person with strong expertise in molecular biology, and protein biochemistry. Experience in mass spectrometry targeted techniques and enrichment of post-translational modification will be appreciated. The selected person will be in charge of the biochemical characterization of NPM modifiers and analysis of the impact of NPMs on whole proteomes, sub-proteomes, or high molecular weight protein complexes such as the RuBisCO enzyme. The hired person will be trained to use our in-house pipelines/methods for proteomics N-terminal characterization and quantification, along with all other techniques commonly used in the team. The successful candidate should be highly motivated, flexible, and capable, by the end of the training, to perform autonomously the experiments, analyze and interpret the emerging data. The ideal candidate is expected to have a strong relational and organizational sense. Fluency in English is preferred.