Informations générales
Intitulé de l'offre : Bioinformatics Engineer – Computational Analysis of Intrinsically Disordered Proteins (M/F) (H/F)
Référence : UMR9198-DIEZEA-005
Nombre de Postes : 1
Lieu de travail : GIF SUR YVETTE
Date de publication : vendredi 13 juin 2025
Type de contrat : IT en contrat CDD
Durée du contrat : 24 mois
Date d'embauche prévue : 1 septembre 2025
Quotité de travail : Complet
Rémunération : Between €2540 and €3281 gross per month, depending on experience
Niveau d'études souhaité : BAC+3/4
Expérience souhaitée : Indifférent
BAP : A - Sciences du vivant, de la terre et de l'environnement
Emploi type : Ingénieur-e biologiste en traitement de données
Missions
The engineer will develop a modular pipeline in Julia and Python for the analysis and scoring of intrinsically disordered proteins (IDPs). This includes integrating evolutionary and deep-learning methods to identify biologically relevant conformations and interactions. They will also manage all generated data (collection, FAIR structuring, documentation) and release the code as open-source.
Activités
- Develop and maintain Julia/Python code with unit tests and continuous integration;
- Implement graph-based deep learning models for scoring IDPs;
- Build and document datasets compliant with FAIR principles;
- Use the institute's CPU/GPU clusters and national HPC infrastructure;
- Write documentation, technical reports, and publications.
Compétences
- Solid experience in Julia (or strong motivation to acquire it) and good command of Python;
- Experience in scientific software development: Git, testing, CI, containers;
- Knowledge in structural bioinformatics and modeling;
- Autonomy, organizational skills, and teamwork;
- Scientific English proficiency at B1–B2 level (CEFR)
Contexte de travail
The position is part of the AMIG team – Molecular Assemblies and Genome Integrity – at I2BC (Institute for Integrative Biology of the Cell), which includes both wet-lab and dry-lab components; the engineer will work in the dry-lab. The environment offers local CPU/GPU clusters and access to national supercomputers. The recruited person will work in an interdisciplinary setting at the interface of structural biology, computer science, and AI, closely collaborating with partners from the COST ML4NGP network. The work will directly contribute to the scientific goals of the ANR SPPICES project (Scoring and Predicting Protein Interactions and Conformations based on Evolutionary Signals), aimed at understanding the conformational dynamics and protein interactions involving disordered regions.
I2BC is a large joint research unit of CNRS, CEA, and the University of Paris-Saclay. The position is based in Gif-sur-Yvette.