Senior Scientist I - II, Computational HitGen / LeadGen
Core
Identify, develop, optimize, validate, and deploy innovative computational methods for hit and lead generation in small molecule drug discovery.
Role type
Senior Scientist I/II, Computational HitGen/LeadGen
Builds
AI-enabled drug discovery workflows for small molecule portfolios
Domain
Pharmaceutical industry, computational chemistry, cheminformatics, AI/ML
Deliverable
production ML models
Required skills
Machine learning model development, deep learning, cheminformatics, Python programming, affinity prediction, pharmacological property prediction (PK), retrosynthetic analysis, generative AI for molecular design
Preferred skills
Early-stage drug discovery campaign experience (hit gen/lead gen)
Technologies
Python, Machine Learning, Deep Learning, Generative AI
Responsibilities
Consult with project teams to establish hit/lead criteria; develop and maintain proficiency with cutting-edge computational methods; identify and deploy suitable methods for project goals; communicate rationale for chosen methodologies; contribute to development of methods for predicting binding affinities, designing compounds with specified properties, and sampling chemical spaces
Seniority
Senior, hands-on IC
