Senior Computational Chemist

Department: R&D Location: Israel Reports to: VP of R&D Position Type: Full-time The Role: Eybna is building Model Torii, a computational model for predicting how botanical compounds interact with human biology. We're looking for a Senior Computational Chemist to help build the in-silico layer of BNA™, our aromachology platform.

You'll work on receptor modeling, molecular interaction prediction, and the computational validation pipeline that connects raw compound data to formulation-ready predictions.

Key Responsibilities

Develop and refine computational models for predicting receptor binding, synergy effects, and biological response to botanical compounds. Build and maintain the in-silico validation pipeline that feeds BNA™ platform predictions, working across the known / predicted / hypothesised data layers. Collaborate with Formulation and Analytical teams to validate computational predictions against bench and analytical results.

Contribute to the research and documentation behind Model Torii's measurement layers and validation tests. Stay current on computational chemistry, cheminformatics, and molecular modeling methods relevant to receptor and synergy prediction. Support the technical rigor behind scientific content and white papers describing the platform's methodology.

Requirements

PhD or MSc in computational chemistry, cheminformatics or a related field. 4+ years of hands-on experience in computational/molecular modeling, ideally including receptor-ligand or QSAR modeling. Strong programming skills (Python preferred) for building and running computational pipelines. Experience with molecular modeling and cheminformatics tools (e.

g., RDKit, Schrödinger, or similar). Comfortable working at the intersection of computational prediction and wet-lab validation. Strong written communication skills for documenting methodology and collaborating cross-functionally.