Senior Scientist I - II, Computational HitGen / LeadGen
Core
Develop, optimize, validate, and deploy AI-enabled computational methods for hit and lead generation in small molecule drug discovery.
Role type
Senior Scientist I/II, Computational HitGen/LeadGen
Builds
AI-driven workflows for predicting binding affinities, designing compounds with specific pharmacological properties, and sampling chemical spaces
Domain
Pharmaceutical R&D, AI for Drug Discovery, Cheminformatics
Deliverable
production ML models
Required skills
Machine learning model development, Deep learning, Cheminformatics, Python programming, Retrosynthetic analysis, Binding affinity prediction, Pharmacological property prediction (PK), Synthetic tractability evaluation
Preferred skills
Early-stage drug discovery campaign experience (hit gen/lead gen)
Responsibilities
Consult with project teams to establish hit/lead criteria, select and deploy optimal computational methods, explain methodology rationale to non-specialists, develop workflows for AI-generated chemical space sampling
Seniority
Senior, hands-on IC
