Scientist Computational Chemistry F/HOrano

A la pointe de la recherche en médecine nucléaire, Orano Med développe des thérapies innovantes contre le cancer. S'appuyant sur une expertise unique dans la production du plomb-212 (212Pb) et les technologies de radio marquage, Orano Med développe des traitements à base de plomb-212 consistant à détruire sélectivement les cellules cancéreuses, tout en limitant l'impact sur les cellules saines environnantes. Avec un portefeuille solide de molécules en développement capables de cibler diverses formes de cancers et une chaine d'approvisionnement fiable en plomb-212, Orano Med ambitionne de devenir leader de l'alphathérapie ciblée, notamment pour les patients actuellement en impasse thérapeutique.
En savoir plus sur Orano Med

Orano Med is a biotechnology company owned by Orano. Our ambition is to develop a new generation of targeted cancer therapies using the unique properties of lead-212, a rare alpha-emitting radioisotope with highly promising medical properties.

Responsabilities

• In collaboration with the Discovery team, build and apply cheminformatics and computational chemistry capabilities to support the Design-Make-Test-Analyze (DMTA) discovery cycle in radiotheranostics.
• Contribute to the advancement of the radiotheranostic pipeline by applying computational approaches such as molecular docking, ligand-based design, diversity and conformational analyses, together with machine learning and AI methods, to support multiparameter optimization of radioligand candidates.
• Develop, optimize, and implement computational tools, workflows, and methods (e.g., docking, molecular dynamics, free-energy calculations, ML/AI-assisted design) to strengthen internal discovery capabilities and accelerate project progression.
• Provide computational support and scientific input across key discovery stages, including target assessment, hit identification, and lead optimization, working closely with medicinal chemistry and biology teams.
• Collaborate with the IT and data science teams to help integrate AI-enabled tools into day-to-day drug design workflows.
• Clearly communicate computational results, design hypotheses, and data-driven recommendations to multidisciplinary project teams.

For the time being, the position will be based in Chatillon, but in March the site is scheduled to move to Villejuif.