Machine Learning Research Scientist (Canada)

Location: Canada, Montreal

Insilico Medicine is seeking a Machine Learning Research Scientist for generative models in chemistry/biology. We are an end-to-end artificial intelligence-driven pharma-technology company with a mission to accelerate drug discovery and development by leveraging our rapidly-evolving proprietary platforms across biology, chemistry, and clinical development. Our Pharma.AI platform has the potential to rapidly bring novel breakthrough medicines to patients while decreasing costs and increasing the probability of success.

The candidate will

• Improve and invent new approaches for molecular structure generation
• Research and develop state-of-the-art AI/ML/DL generative models applications in drug discovery
• Optimize and improve the generative component of the platform
• Train, analyze, and deploy generative models

Requirements

• Extensive experience and a strong background in AI/ML/DL: Transformers, GNNs, RNNs, CNNs, GANs, VAEs, flow-based generative models, evolutionary algorithms
• At least two years of experience in Python
• Be experienced in Pytorch, Numpy, Pandas, Scikit-Learn, JupyterLab, Plotly, Git
• An ability to quickly test hypotheses with prototypes
• Critical thinking skills, experience in research and conducting experiments
• Motivation to learn new things and research AI solutions
• Ph.D. or M.S. in a related field

Desirable skills

• Background in chemistry or chemoinformatics
• Proven track of publications in machine learning for drug discovery
• Successful experience in ML competitions (Kaggle, etc.)
• An ability to absorb a large amount of information from various sources
• Skills and mindset for feature/component ownership

Terms

• Voluntary health insurance program and language courses (English and Chinese) after the probation period
• Reimbursement of training programs, participation in conferences and webinars, course certificates
• Flexible working schedule
• Friendly team and warm environment

Please send your CV to recruiting@insilico.com