Computational and Experimental Scientist
About the Role
This role owns the full design-make-test-model loop at an early-stage AI-driven protein and peptide design company, working directly with the founding team. You will advance pocket-conditioned discrete diffusion models for sequence design, operate an inference platform at scale, and close the loop with hands-on kinetics, making you one of the most end-to-end scientists on a lean core team of five to seven people.
What You'll Do
Improve and extend discrete diffusion models and companion folding models with refinements, new attention heads, and hierarchical reasoning.
Operate an ML inference stack at scale and diagnose usage patterns across customer segments, signups, and churn.
Own fluid-handling robotics and plate automation (Hamilton, Tecan, Opentrons, or equivalent) and ship reliable, production-ready protocols.
Run BLI and SPR end-to-end: assay design, immobilization, regeneration, referencing, dilution series, kinetic fitting, and QC.
Write precise protocols for cloud labs and manage internal screening instrumentation.
Work across receptor biology, protein structure, scoring functions, and sequence design outputs.
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