Computational and Experimental Scientist
About the Role
This is a full-stack scientist role at an early-stage AI-driven protein and peptide design company, sitting directly on a lean core team of 5 to 7 and reporting to the CEO. You will own the entire design-make-test-model loop, from sequences out of the inference platform to kinetics data back in, closing that loop end-to-end rather than handing off between functions.
What You'll Do
Improve and extend pocket-conditioned discrete diffusion models and companion folding models, including refinements, new attention heads, and hierarchical reasoning.
Operate the AI inference stack at scale and diagnose usage patterns across signups, churn, and customer segments.
Own fluid-handling robotics and plate automation (Hamilton, Tecan, Opentrons, or equivalent), writing and shipping reliable protocols.
Own BLI and SPR end-to-end: assay design, immobilization, regeneration, referencing, dilution series, kinetic fitting, QC, and failure-mode diagnosis.
Write protocols for cloud labs and manage internal screening instrumentation.
Work the full stack across receptor biology, structure, scoring, and platform output.
Take sequences from the
