Computational and Experimental Scientist
Core
Design-make-test-model loop for AI-driven protein and peptide engineering, combining discrete diffusion models with experimental binding kinetics.
Role type
Senior IC computational and experimental scientist (protein engineering)
Builds
Production-ready sequence designs and binding kinetics data for early-stage AI protein engineering
Domain
Life sciences / Protein engineering / Machine Learning
Deliverable
production ML models | product features | physical/clinical work
Required skills
discrete diffusion models, protein language models, fluid-handling robotics, BLI/SPR assays, Python scripting, full-loop design-make-test
Preferred skills
gene editing, gene therapy, receptor trafficking, biotech accelerator/startup experience
Technologies
Hamilton, Tecan, Opentrons, BLI, SPR, Python
Responsibilities
Improve discrete diffusion and folding models, operate ML inference platform, own fluid-handling robotics and plate automation, execute BLI and SPR end-to-end, write cloud-lab protocols, close design loops with kinetics data
Seniority
Senior, hands-on IC