AIRx Director, Computational & AI Biologics Design Lead
Core
Strategic computational leader driving in silico biologics design, applying generative AI and structure-informed methods to antibody and large-molecule programs to deliver candidates to the clinic.
Role type
Senior IC computational biologics design lead (Director level)
Builds
AI-powered operating models for large molecule discovery and candidate sequences
Domain
Biopharmaceuticals / Computational Biology / AI for Drug Discovery
Deliverable
production ML models | product features
Required skills
Generative AI/ML frameworks for biologics, structural biology modeling, Python programming, MLOps, cloud-based compute, developability prediction, PK/PD modeling, data strategy for AI training
Preferred skills
Multispecific antibody formats, physics-based modeling with deep learning, IND-enabling program experience, external AI design partner collaboration
Technologies
Python, generative AI, structural biology tools, cloud compute platforms
Responsibilities
Define computational design strategy for large-molecule programs, design and prioritize molecular candidates using AI/ML, serve as scientific advisor on design decisions, integrate structural biology data into design strategies, oversee virtual screening and binding affinity prediction, establish approaches to accelerate lead optimization, interface with AI/ML research platform, curate AI/ML training datasets, present in silico analyses for review boards, represent computational capabilities externally
Seniority
Director, strategic leadership with hands-on IC execution
