Senior Principal Scientist, Applied AI & Agentic Systems for Small-Molecule Drug Discovery
Core
Scientific leader driving the strategic application of AI and agentic systems to accelerate small-molecule drug discovery and extend capabilities to protein therapeutics.
Role type
Senior Principal Scientist (Applied AI & Agentic Systems)
Builds
AI co-scientists and scalable AI-enabled scientific workflows for the DMTA cycle
Domain
Biotechnology / Computational Drug Design / AI
Deliverable
production ML models
Required skills
computational chemistry, cheminformatics, small-molecule drug discovery, machine learning, large language models, agentic systems, scientific evaluation frameworks, AI governance
Preferred skills
protein therapeutics, biologics, emerging therapeutic modalities
Technologies
large language models, agentic systems, retrieval-augmented workflows
Responsibilities
Drive strategic application of AI across drug discovery; Partner with teams to develop AI co-scientists for knowledge synthesis and lead optimization; Define scientific evaluation frameworks and validation strategies; Establish operational guardrails for model usage and data access; Drive adoption of AI-enabled workflows through scientist engagement.
Seniority
Principal, strategy & mentorship
