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 engineering company: you will run and improve pocket-conditioned discrete diffusion models for sequence design and personally execute the binding kinetics that close the loop. You will sit on a lean core team reporting directly to the CEO, making this one of the highest-leverage scientific roles at the company.
What You'll Do
Improve and extend proprietary diffusion and companion folding models with architectural refinements, new attention heads, and hierarchical reasoning.
Operate an ML inference platform at scale and diagnose usage patterns across signups, churn, and customer segments.
Own fluid-handling robotics and plate automation (Hamilton, Tecan, Opentrons, or equivalent) and ship reliable, production-ready protocols.
Own BLI and SPR end-to-end: assay design, immobilization, regeneration, referencing, dilution series, kinetic fitting, QC, and failure-mode diagnosis.
Write detailed cloud-lab protocols and manage internal screening instrumentation.
Work the full stack from receptor biology and protein structure through scoring functions to platfor
