Contribute to frontier research at the intersection of AI and drug design in a highly creative, iterative environment
Job Summary
Contribute to frontier research at the intersection of AI and drug design in a highly creative, iterative environment.
Translate research concepts into practical implementations by developing and optimizing state-of-the-art AI models and building robust codebases.
Design, implement, and run experiments to evaluate the performance and robustness of ML models using a full spectrum of state-of-the-art machine learning methods.
Matching Summary
Contribute to frontier research at the intersection of AI and drug design in a highly creative, iterative environment.
Skills & Requirements
Must-have
state-of-the-art AI models
robust codebases and data pipelines
ML model evaluation and tuning
optimizing AI/ML model performance
collaboration with scientists and engineers
advanced AI/ML hardware+software stack
Nice-to-have
interest in chemistry and biology
experience with biomedical data
knowledge of pharmaceutical industry
Key Requirements
PhD in technical subject with engineering component and AI/ML exposure
BSc, MSc with 2+ years ML model development experience
Strong general engineering experience
Strong fundamentals in mathematics, statistics, linear algebra
Experience with full ML research and development lifecycle