Material Informatics Scientist
Pubblicato il 04-10-2026 - R2A Labs in Italia
Questa posizione è in R2A Labs Riassunto dell'opportunità da parte della Joinrs AI : R2A Labs cerca un Materials Informatics Scientist con dottorato o esperienza significativa in chimica computazionale, scienza dei materiali o fisica. Il ruolo prevede la costruzione di workflow computazionali per supportare scoperte sperimentali, con robusto focus su simulazioni molecolari e analisi dati. Si offre la possibilità di essere un membro tecnico fondatore con partecipazione azionaria significativa e impatto ambientale positivo. About us R2A Labs is a young, rapidly growing startup working to break the dependence on fossil-derived materials that underpin so much of what we manufacture and use every day. We are building technology to rethink bio-based material innovation and develop scalable solutions that compete with synthetic incumbents on both performance and cost. At the core of this is our R2A Lab-in-Loop Engine, a design system that replaces broad experimental trial-and-error with simulation-guided and highly targeted physical experimentation.
By bridging the digital and physical worlds we develop high-performing and manufacturable bio-based materials, faster, and smarter. About the role We are looking for a Materials Informatics Scientist to sit at the centre of our discovery loop, converting chemical and physical modification strategies into digital workflows, and ensuring that simulation outputs and model behaviour translate faithfully into experimental decisions. What you'll do Build and maintain molecular dynamics (MD) and DFT workflows that translate chemical and physical modification strategies into robust data pipelines Design and implement evaluation frameworks for computational models, defining metrics that capture generalisation, robustness, uncertainty, and experimental relevance, and assessing trade-offs between accuracy, data efficiency, and usability Close the loop between models and experiments: connect simulation outputs to validation results, identify