Senior Scientist/Associate Principal Scientist, AI
Core
Design, develop, and implement advanced AI/ML models (self-supervised and supervised) for biologics discovery and engineering, including protein language models, structure prediction, and de novo design.
Role type
Senior/Associate Principal AI Scientist
Builds
AI/ML models and agentic AI solutions for biologics discovery, serving wet lab scientists and R&D teams
Domain
Biologics drug discovery, computational biology, protein engineering
Deliverable
production ML models
Required skills
machine learning model development, deep learning, protein sequence/structure modeling, multi-modal data integration, large-scale biological data analysis, Python programming
Preferred skills
agentic AI development, protein structure prediction, de novo design, cloud computing, data engineering, biologics drug discovery knowledge
Technologies
TensorFlow, PyTorch, JAX, Python
Responsibilities
design and benchmark AI/ML models for biologics, collaborate with wet lab scientists on experimental design and data curation, analyze complex biological data, develop agentic AI solutions, publish scientific papers and patents
Seniority
Senior, hands-on IC with strategic collaboration
