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.