Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD)
Core
Developing new machine learning and statistical methods for uncertainty quantification, inference, and experimental design to guide decision-making in drug discovery.
Role type
Frontier research machine learning scientist (AI for Drug Discovery)
Builds
Novel ML frameworks, conference/journal publications, open-source code
Domain
Biopharmaceuticals / AI for Drug Discovery
Deliverable
research
Required skills
Uncertainty quantification, statistical inference, experimental design, reinforcement learning, conformal prediction, game-theoretic statistics, technical writing
Preferred skills
ML methods for biological/clinical data, open-source package development
Responsibilities
Develop new methods for uncertainty quantification and statistical inference; drive research projects resulting in publications and open-source code; present work at scientific conferences
Seniority
Senior, research-focused IC
