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Organic chemist • new york ny
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Product Scientist (Comp. Chemist)
Inductive BioNew York, NY, United States- serp_jobs.job_card.promoted
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Inductive BioNew York, NY, United States- serp_jobs.job_card.full_time
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
Internal product impact
Who You Are
Cheminformatics : similarity / substructure searching, clustering, R-group analysis, enumeration, property calculation / filtering.
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.