Associate Director - Machine Learning Sciences
Core
Lead the Machine Learning Sciences team to apply AI/ML for ADMET, PK prediction, and multiparameter compound design in small molecule drug discovery.
Role type
Associate Director, Machine Learning Sciences (Leadership)
Builds
Predictive models for ADMET/PK and multiparameter design for small molecules
Domain
Pharmaceutical R&D / Computational Chemistry / Drug Discovery
Deliverable
production ML models
Required skills
Machine learning for chemistry/drug discovery, team leadership, cross-functional collaboration, scientific strategy, external technology evaluation, model validation
Preferred skills
Direct people management, pharma/biotech R&D experience, multiparameter optimization, external vendor/academic relationship management
Technologies
AI/ML frameworks, computational chemistry tools, DMPK platforms
Responsibilities
Lead and grow ML scientist team, set scientific strategy, partner cross-functionally to embed ML in workflows, drive model predictivity via validation, scan external landscape for new methods, represent team in leadership forums, mentor team members
Seniority
Senior, hands-on IC with leadership responsibilities
