We are seeking an innovative Principal Scientist to bridge the gap between computational design and experimental validation in our antibody discovery engine.
Requirements
- Ph.D. in molecular biology, biochemistry, computational modeling, structural biology, or related discipline
- 8+ years’ post-PhD experience in antibody/protein engineering within the biotech or biopharma sectors
- Hands-on proficiency with structural modeling and extensive knowledge in ML protein design tools
- Experience designing experiments specifically to generate high-quality training data for ML models (e.g., focused libraries, systematic mutagenesis)
- Expert knowledge of antibody structure-function relationships
- Extensive experience in rational design for humanization, affinity maturation, pH-dependence, and liability removal
- Deep expertise in engineering multi-specific antibodies
- Strong understanding of biophysical characterization to ensure designed molecules are developable therapeutics
- Experience technically managing CROs for gene synthesis, protein production, and functional assays
Benefits