Research Scientist (Machine Learning), Lausanne
Core
Building frontier machine learning models and algorithms to accelerate drug discovery and design novel molecules.
Role type
Senior Research Scientist (Machine Learning)
Builds
Predictive and generative AI models for drug discovery
Domain
Biotech / Drug Discovery / Machine Learning
Deliverable
production ML models
Required skills
Deep learning architecture design, linear algebra, calculus, statistics, JAX, PyTorch, TensorFlow, NumPy, SciPy, Pandas
Preferred skills
Post-doctoral research experience, publications, biological/chemical data experience, ML on accelerators, generative models, graph neural networks, computer vision, robotics, applied RL
Technologies
JAX, PyTorch, TensorFlow, NumPy, SciPy, Pandas
Responsibilities
Design and develop novel ML algorithms for drug discovery, create and lead greenfield research projects, implement and scale training/inference frameworks, analyze and tune experimental results, mentor ML research scientists, collaborate with domain experts in biology and chemistry
Seniority
Senior, hands-on IC with potential for leadership
