Product Scientist

Inductive Bio is an AI medicinal chemistry partner. We build virtual labs that help drug discovery teams make better decisions, faster, across the full DMTA cycle. Our platform includes Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI medicinal chemistry assistant. Through a partnership with Enamine, we also offer library synthesis and direct-to-dose testing, closing the loop from computational design to experimental validation. Together, these power dozens of small molecule and beyond-rule-of-five programs for biotech and pharma partners. Beacon-1 placed 1st in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, ahead of Merck & Co + NVIDIA and EMD Serono. We've raised $30M from Obvious Ventures, a16z Bio + Health, and Lux Capital, and were selected for a $21M ARPA-H CATALYST award to develop next-generation toxicity models. This is a remote-friendly role, but we give bonus points to candidates located in Boston, New York, or San Francisco where we have physical offices. While we are flexible on time zone for primary working hours, this role requires availability for external meetings that frequently occur during Eastern Time business hours. The Role We're seeking a seasoned computational or medicinal chemist to join the Product Science team as a Product Scientist. You'll be the primary Inductive scientific lead on partner programs, applying your med chem, comp chem, and DMPK expertise to real molecular optimization problems with a focus on dose-centric optimization. You'll work across a wide range of small molecule modalities, therapeutic areas, and modeling challenges. You'll also be a thought leader in the development of Inductive's platform, from our predictive models and dose projection tools to Indy, our AI medicinal chemistry assistant, informed by your own experience and what you see working (and not working) on real partner programs. We need someone whose instincts about what matters in small molecule optimization come from years of doing it, and who wants to put those instincts to work shaping products that empower drug discovery teams. What You'll Do: Partner-facing science - Own the scientific relationship with partner project teams across modalities including reversible and covalent small molecules, macrocycles, molecular glues, and heterobifunctionals. - Bring order to messy program data. Rationalize SAR, identify what the data is and isn't telling you, and flag inconsistencies before they become bad decisions. - Guide med chem strategy: what to make, what to test, how to triage compounds for advancement, and where to focus synthetic resources. Identify liabilities early and help partners build de-risking plans. - Model in vivo outcomes end to end, from PK/PD/efficacy relationships to projected human dose, helping teams evaluate compounds through a dose-centric lens and reason about property tradeoffs in the context of therapeutic window. - Represent Inductive's scientific capabilities in partner meetings and publications. Modeling and method development - Prototype scientific analyses and modeling experiments in code. We use Claude Code heavily within Product Science, so you can move from hypothesis to result quickly. - Build reusable analyses, tools, and workflows for internal use, for partner delivery, and for Indy. If you find yourself doing something twice, automate it. - Evaluate new computational methods on benchmark datasets and make pragmatic calls about what's worth adopting. - Dig into model performance issues. When predictions miss, understand why and work with the ML team to turn those findings into model improvements. - Stay current with the scientific literature and look for emerging techniques worth testing on real data. Internal product impact - Set scientific direction for the platform. You won't just provide feedback on what others build; you'll define what needs to exist and why, grounded in your past experience and what you see on partner pr