Senior Specialist, Computational Protein Design
Core
Lead AI- and structure-guided protein design efforts to drive iterative design cycles from concept to candidate for biologics.
Role type
Senior IC computational protein design scientist
Builds
AI-enabled protein design strategies and iterative design-test-learn cycles for biologics
Domain
Biopharmaceuticals / Computational Biology / Protein Engineering
Deliverable
production ML models
Required skills
Generative models (RFDiffusion, ProteinMPNN, ESM3), Physics-based design tools (Rosetta, AlphaFold2), High-throughput screening data integration, HPC/cloud workflow development, Protein biophysics intuition, Large-scale candidate generation pipelines
Preferred skills
Functional optimization of antibodies, Computational design method/algorithm development, Wet lab protein engineering experience
Technologies
RFDiffusion, ProteinMPNN, ESM3, Rosetta, AlphaFold2
Responsibilities
Apply generative models within iterative design–test–learn cycles and benchmark against experimental outcomes; Integrate structural and biophysical intuition to optimize expression, stability, affinity, and developability; Build computational workflows leveraging HPC/cloud resources to program design goals; Interface across teams to shape and execute AI-enabled protein design strategy
Seniority
Senior, hands-on IC
