This role drives in silico molecular design and applies generative chemistry to power rapid DMTA cycles within Takeda's AI-first operating model
Job Summary
This role drives in silico molecular design and applies generative chemistry to power rapid DMTA cycles within Takeda's AI-first operating model.
The position requires leading virtual screening campaigns and integrating structural biology data to directly shape candidates advancing to the clinic.
Takeda offers a competitive base salary range of $212,000.00 to $333,190.00 along with comprehensive benefits including medical insurance and 401(k) matching.
Matching Summary
This role drives in silico molecular design and applies generative chemistry to power rapid DMTA cycles within Takeda's AI-first operating model.
Salary
Base: $212,000.00 - $333,190.00; Bonus/Equity: Short-term and/or long-term incentives eligible; Benefits: Medical, dental, vision, 401(k), paid time off
Skills & Requirements
Must-have
PhD in computational chemistry or related field
12-15+ years drug discovery experience
Proficiency in Python and ML model deployment
Experience with FEP, docking, and MD simulations
Ability to interpret X-ray and cryo-EM data
Nice-to-have
Experience applying generative AI to molecular design