What we do
Cambrium is a molecular intelligence company engineering advanced materials that outperform. From personal care to textiles, mobility to home care, we design and manufacture materials that deliver real results today and for generations to come.
Our platform brings together molecular intelligence and living systems to design and produce enzymes, polymers, and peptides at scale, unlocking performance characteristics that traditional chemistry could never access. Within polymers specifically. Our stack: we design enzymes that produce novel monomers, then combine them into block copolymers that break through the performance tradeoffs of existing polymers. We have done this once already, and now we're making it systematic. Polymers today are where proteins were before AlphaFold: the architectures exist, the training data doesn't. We're building the lab and the dataset that changes that.
We are an equal-opportunity employer and value diversity. We consider all applications equally regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply, and we can help with immigration.
Your role
We are building a polymer synthesis and characterization lab from zero: parallel reactors, automated characterization, and the throughput to generate thousands of datapoints per month. This lab is the data engine behind our polymer AI foundation model. Someone needs to build it, commission it, and run it.
You are the first wet-lab hire for our polymer AI lab. You will lead the physical lab: reactor procurement, characterization stack, synthesis protocols, and the ramp from first experiment to steady-state throughput. You collaborate daily with the Head of Polymers and the CTO. A computational chemist is being hired in parallel to lead the compute track. You two are the two co-architects of this new segment.
Your Responsibilities- Lead lab buildout end-to-end: site preparation, equipment procurement, installation, commissioning
- Set up the characterization stack for molecular weight, thermal, mechanical, rheological, and chemical properties
- Design and validate synthesis protocols for block copolymer families using bio-based monomers produced by our enzyme platform
- Build the sample-to-datapoint pipeline: from reactor output through characterization to structured, ML-ready data
- Ramp throughput from first experiments to thousands of datapoints per month at steady state
- Grow and mentor the synthesis team as the lab scales
- Collaborate with the computational chemist to close the active learning loop: the model suggests what to synthesize next, you make it happen and feed back results
- Inform reactor expansion decisions based on verified yield data