Product Scientist

Inductive Bio

7d•$180,000 - $220,000•Remote

About The Position

Inductive Bio is seeking a seasoned computational or medicinal chemist to join the Product Science team as a Product Scientist. This role involves being the primary scientific lead on partner programs, applying expertise in med chem, comp chem, and DMPK to molecular optimization problems with a focus on dose-centric optimization across various small molecule modalities and therapeutic areas. The position also requires contributing to the development of Inductive's platform, including predictive models, dose projection tools, and an AI medicinal chemistry assistant, informed by practical experience with partner programs. The ideal candidate will have strong instincts about small molecule optimization and a desire to shape products that empower drug discovery teams.

Requirements

A pragmatic drug discovery scientist with 5+ years on project teams across multiple stages of discovery, from hit identification through lead optimization.
Broad technical range across cheminformatics, structure/physics-based modeling, ML, and DMPK. We care more about your ability to pick the right tool for the problem than depth in any single technique.
Deep scientific training in a relevant field is expected; the specific degree matters less than what you've done with it.
Comfortable writing Python and picking up new tools. We use Claude Code daily and prototype fast; strong coders with experience or interest in AI coding agents will thrive here.
Clear communicator who can lead cross-functional discussions and turn complex analyses into visuals that land with both technical and non-technical audiences.

Nice To Haves

Ideally you've seen a program through to DC nomination or IND-enabling studies.
We'll make exceptions for exceptional scientists who are genuinely eager to learn [Python/Claude Code].

Responsibilities

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.
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.
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 programs.
Sit in product design meetings and own the user perspective. You use our tools every day; that makes you the most credible voice in the room for what's working and what isn't.
Write feature requirements, prioritize the roadmap alongside product and engineering, and hold the bar on whether what ships actually solves the problem.
Help grow the Product Science function as Inductive scales.