Principal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD)
Core
Developing theoretical frameworks and algorithms for sampling and generative modeling to advance foundational machine learning research in drug discovery.
Role type
Principal Machine Learning Scientist (Frontier Research)
Builds
Novel algorithmic frameworks and research outputs for the Computational Sciences Center of Excellence
Domain
Biopharmaceuticals / Generative Machine Learning
Deliverable
research
Required skills
Generative modeling, Theoretical frameworks, Algorithm design, Experimental design, Code development, Scientific publication, Peer-reviewed conference presentation, Open science collaboration
Preferred skills
Published theoretical contributions
Technologies
None explicitly listed
Responsibilities
Develop theoretical frameworks and algorithms for sampling and generative modeling; Contribute to publications and present results at scientific conferences; Collaborate on research pushing the state of the art in machine learning; Execute experiments including designing details, writing code, running evaluations, and organizing results
Seniority
Principal, hands-on IC with strategic research agenda