Product Scientist (Comp. Chemist)

Inductive Bio is building a full-stack compound optimization platform that leverages state-of-the-art AI models trained on real-world drug discovery challenges and rapidly expanding proprietary ADMET datasets. Our technology is already powering dozens of small-molecule & beyond-Rule-of-Five programs spanning diverse indications and therapeutic mechanisms for leading biopharma partners. Backed by top investors and advised by veteran drug hunters, Inductive Bio is becoming the partner of choice for companies pushing the frontiers of rational molecular design. The Role We’re seeking a computational chemist —or a medicinal chemist with strong computational fluency— to join as a Product Scientist. In this role, you’ll operate at the intersection of applied drug discovery and computational platform innovation. You’ll apply modern computational and cheminformatics techniques to solve real molecular optimization problems while shaping the next generation of our platform by embedding scientific reasoning, ADMET modeling strategies, and decision-support workflows into scalable, agentic frameworks. This is a hands-on role for a scientist who enjoys working directly with experimental project teams as much as they enjoy refining models, analyzing diverse datasets, and building tools that generalize across programs. You’ll get a rare look across a remarkably broad cross-section of modern drug discovery—different molecule types, therapeutic areas, and modeling challenges—offering a depth and variety of scientific exposure that few roles can match. What You’ll Do Partner-facing science • Collaborate directly with partner project teams in using Inductive’s platform to solve molecular optimization challenges across multiple therapeutic modalities: reversible and covalent small molecules, macrocycles, molecular glues, and heterobifunctionals. • Rationalize SAR, explore chemical space, and propose novel design hypotheses informed by model predictions and experimental feedback. • Participate in partner meetings and scientific publications, representing Inductive’s modeling and data-science capabilities. Modeling and method development • Apply and combine methods from computational chemistry, cheminformatics, and DMPK to analyze structure–activity relationships and simulate in vivo outcomes. • Interrogate and integrate diverse data types—including chemistry, biochemistry, cell biology, ADMET, and DMPK—to uncover mechanistic insights and inform modeling strategy. • Create clear, compelling visualizations and figures that distill complex, multidimensional datasets into intuitive scientific narratives for both technical and nontechnical audiences. • Contribute to internal benchmarking, dataset curation, and development of novel predictive or generative models. • Collaborate closely with machine learning and software engineering teams to translate scientific workflows into productized, automated systems. Internal product impact • Provide feedback from real projects to improve model interpretability, data pipelines, and user experience. • Help define and grow the Product Science function as Inductive scales across hundreds of active programs. Who You Are • Ph.D. in chemistry, computational biology, pharmaceutical sciences, or a related field, with ≥3 years of industry experience supporting drug discovery project teams. • Experienced with large chemical and biological datasets and fluent in modern modeling techniques such as: • Cheminformatics: similarity/substructure searching, clustering, R-group analysis, enumeration, property calculation/filtering. • Physics-based methods: docking, MM/GBSA, FEP, QM, and structural modeling • Machine learning: model training/evaluation, uncertainty quantification, and data-driven hypothesis generation. • Naturally data-driven—you enjoy exploring complex experimental datasets, identifying inconsistencies or hidden structure, and using that intuition to drive model design and experimental prioritization. • Have a strong sense for visual communication and figure design—able to convey complex ideas through clear, elegant, and data-rich graphics. • A clear, confident communicator who enjoys leading discussions with cross-disciplinary teams. • Motivated by impact—you care deeply about accelerating how innovative medicines reach patients. Why Inductive Bio You’ll join a small, driven team combining deep drug-discovery experience with cutting-edge AI and data infrastructure. We value scientific rigor, thoughtful design, and humility. This is an opportunity to apply your modeling expertise to real programs today while helping define the future of computational drug design. If this mission resonates with you, we’d love to hear from you. Apply tot his job