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Radical AI, a materials company in New York, is hiring a generalist materials scientist with deep experience in oxides and ceramics. You will define the composition space, set synthesis and characterization protocols, and guide the platform's rapid exploration across multiple material systems.
You will work across projects, review data as it comes in, and design experiments at scale with automation and AI integration. This role is based in New York City.
Radical AI is a materials company replacing the R&D process that currently takes 10 years and $100 million to produce a single discovery. Instead of leaving world-changing industries like aerospace, automotive, energy, manufacturing, semiconductors, and space to engineer around material shortcomings, Radical invents new materials for specific performance goals in a matter of weeks. This acceleration of research is fueled by scientific agents that simulate novel compositions and then send them directly into an automated lab for physical synthesis, characterization, and validation.
Radical is hiring a generalist materials scientist with deep experience in oxides and ceramics. This role sits across projects rather than inside a single narrow chemistry: you will define the composition space worth exploring — dopants, precursor chemistries, sintering conditions, or phase targets — and set the synthesis and characterization protocols the platform executes, on whatever oxide or ceramic system the science roadmap calls for next. Where a traditional lab tests one candidate at a time, here you queue up dozens, review the resulting structural and compositional data as it comes in, and use it to decide the next round. You bring the materials intuition that took years to build; the platform gives you the throughput to test it at a scale no bench scientist has ever had. You will not run experiments one at a time and hope — you will design the space of what to try, and watch the platform explore all of it, fast.
This is an in-person role based in New York City. Radical supports relocation for the right candidate.