Senior Scientist, AI-Enabled De Novo Antibody Discovery, Protein Therapeutics
Core
Lead AI-enabled de novo antibody discovery campaigns, bridging computational design and experimental screening to translate target biology into epitope selection and binder advancement.
Role type
Senior Scientist, AI-Enabled De Novo Antibody Discovery
Builds
End-to-end discovery campaigns for protein therapeutics
Domain
Biopharmaceuticals / Structural Biology / Computational Protein Design
Deliverable
production ML models
Required skills
De novo antibody design, Structural biology, Epitope selection, Antibody library design, High-throughput screening, Python, Linux/HPC, Machine learning integration, Cross-functional collaboration
Preferred skills
PhD in structural biology/protein engineering, VHH experience, Protein language models, Inverse folding, Diffusion/flow models, AI-assisted coding tools
Technologies
Python, Linux, HPC, Display-based screening, Recombinant screening
Responsibilities
Lead de novo antibody discovery and optimization campaigns from target assessment through hit selection; Develop integrated computational and experimental screening strategies; Critically evaluate experimental and predicted structural models; Integrate computational, structural, binding, and developability data; Rapidly prototype computational workflows; Collaborate with machine learning scientists to refine computational solutions; Partner with data scientists and screening teams to build lab-in-the-loop capabilities.
Seniority
Senior, hands-on IC
