Become a Multimodal Machine Learning Scientist at Valence Labs in Montreal. Your work will focus on building advanced models to predict cellular reactions to chemical and genetic changes through AI. In this hybrid position, you will collaborate with diverse teams to enhance drug discovery through accurate modeling techniques.
Emphasizing generative methods, you will ensure effective integration of machine learning outputs with biological data, steering creative strategies within a collaborative setting. Your expertise will translate complex research into actionable insights in drug development. Key Responsibilities:
Research generative models for cellular predictions
Build systems for analyzing large multiomics datasets
Ensure predictions are grounded in experimental biology
Design evaluation frameworks for real-world conditions
Contribute to scientific publications in prestigious venues
Requirements:
PhD or relevant experience in ML for life sciences
Background in generative modeling for high-dimensional data
Understanding of biological experimentation techniques
Robust Python skills and software engineering background
Ability to communicate effectively across research disciplines
Utilize your skills in ML and biology to redefine drug discovery practices at Valence Labs.