AI Chemist

Looking for a role that challenges you while making an impact on products people use every day?

We are seeking a highly motivated AI Chemist to support the discovery of next-generation fragrance ingredients molecules through the application of AI, computational chemistry, and data-driven design approaches. Working closely with the AI Chemist Leader , you will contribute to the design, screening, and optimization of novel molecular candidates by integrating computational tools, predictive models, and chemical knowledge. . Where You Will Make a Difference In this role, you will contribute to the development and application of AI-driven discovery workflows that support the identification of novel fragrance molecules. You will help transform data into actionable molecular insights, support virtual screening campaigns, and collaborate with multidisciplinary teams to advance promising candidates into experimental validation. Through your work, you will help strengthen IFF's AI-powered discovery capabilities and contribute to building a scalable pipeline of innovative fragrance ingredients. Key Responsibilities & Accountabilities Support the design and optimization of novel fragrance molecules using computational chemistry, cheminformatics, and AI-based approaches. Execute virtual screening, molecular modeling, and data analysis workflows to identify and prioritize promising molecular candidates. Develop, apply, and continuously improve predictive models for molecular properties, fragrance-relevant attributes, and developability criteria. Curate, analyze, and integrate chemical and biological datasets to improve model performance and discovery outcomes. Collaborate with synthetic, analytical, biology, and fragrance research teams to support experimental validation and interpretation of results. Contribute to the design and exploration of virtual molecular libraries to identify differentiated regions of chemical space. Evaluate computational results and communicate insights clearly to multidisciplinary stakeholders. Stay current with emerging AI, machine learning, and computational chemistry methodologies and help implement relevant innovations within the discovery workflow. What Makes You the Right Fit PhD in Computational Chemistry, Cheminformatics, Data Science, Chemistry, Chemical Engineering, Computational Biology, or a related scientific discipline. +3 years of experience in computational chemistry, AI-driven molecular design, cheminformatics, or related fields, gained through academic research, internships, or industry experience. Proven expertise in: Structure-based and ligand-based modeling Olfactophore/pharmacophore development and virtual screening Physico-chemical property modeling and optimization Solid understanding of: Molecule - protein interactions (receptor biology) Structure - function relationships (affinity, selectivity, activity drivers) Hands-on experience with AI/ML approaches in chemistry, including generative models, predictive modeling, or data-driven design workflows, and ability to critically assess model performance and limitations. Demonstrated ability to design and guide large-scale molecular libraries and explore chemical space efficiently to generate high-value candidates. Strong scientific leadership and credibility, with the ability to operate as a peer to leading AI companies and influence external partners, while working effectively in highly interdisciplinary and fast-paced environments. How You Would Stand Out Experience developing machine learning or deep learning models for scientific applications. Hands-on experience with generative AI approaches for molecular design. Familiarity with cheminformatics platforms and molecular modeling software. Exposure to fragrance science, receptor biology, medicinal chemistry, biotechnology, or related discovery fields. Why Choose Us? Opportunities to learn, develop, and expand your expertise across regions Be exposed to