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 compound design
Domain
Pharmaceutical R&D / Drug Discovery / Computational Chemistry
Deliverable
production ML models
Required skills
Machine learning, ADMET prediction, PK prediction, multiparameter compound design, team leadership, scientific strategy, cross-functional collaboration, external technology evaluation
Preferred skills
People management experience, pharmaceutical/biotech R&D environment experience, multiparameter optimization familiarity, external vendor/academic relationship management
Technologies
AI/ML frameworks, computational chemistry tools
Responsibilities
Lead and grow a team of machine learning scientists, set scientific strategy and priorities, partner cross-functionally to embed ML predictions, drive model validation and improvement, scan external landscape for new technologies, represent the team in cross-departmental forums, mentor team members
Seniority
Associate Director, strategic leadership with hands-on scientific direction
