Executive Director, AIRx Computational Chemistry
Core
Drives in silico molecular design, leverages predictive models, and applies generative chemistry to power rapid drug discovery cycles, directly shaping candidates that advance to the clinic.
Role type
Executive Director, Computational Chemistry (Scientific Lead)
Builds
AI-powered operating models for drug discovery, generative chemical proposals, and prioritized synthesis candidates
Domain
Pharmaceutical drug discovery, AI/ML in chemistry, structure-based design
Deliverable
production ML models | product features
Required skills
Generative AI for molecular design, structure-based drug design, free energy perturbation (FEP), molecular docking, MD simulation, QSAR/ADMET modeling, Python programming, ML model deployment, interpretation of X-ray/cryo-EM data
Preferred skills
Experience applying large language models to molecular design
Technologies
Python, generative AI, protein structure prediction tools
Responsibilities
Apply generative AI and predictive ML models to design and prioritize chemical matter; lead virtual screening campaigns and ADMET predictions; develop computational workflows for speed and reproducibility; interpret structural biology data into design strategies; partner with medicinal chemists to translate outputs into synthesis priorities
Seniority
Executive Director, hands-on scientific leadership