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 cutting-edge strategies within a collaborative environment. 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
- Strong 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.