Scientist, Protein Design
Core
Design de novo antibodies, binder modalities, and antigens using AI-enabled computational methods for mRNA therapeutics and biologics.
Role type
Senior IC computational protein design scientist
Builds
AI-designed binders and antigens for experimental validation and in vivo function
Domain
Biopharma / AI-driven protein design / mRNA therapeutics
Deliverable
production ML models | product features
Required skills
computational protein design, protein structural modeling, applied machine learning, Python coding, structure prediction, generative design, sequence design, docking, scoring, developability analysis
Preferred skills
antibody-based biologics design, HPC/cloud workflow development, method benchmarking, agentic AI/LLM automation, in vitro selection technologies
Technologies
RFdiffusion, ProteinMPNN, AlphaFold, Rosetta, protein language models
Responsibilities
Generate and prioritize de novo antibodies and antigens for testing; Build and maintain Python-based design workflows; Interpret experimental data to guide iterative design cycles; Prototype agentic AI design workflows; Contribute to benchmarking new computational methods
Seniority
Senior, hands-on IC