Role Overview & Specifications
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
About Insilico Medicine
Insilico Medicine is an actively verified employer hiring talent across technology, engineering, and operations.
- Headquarters: United States / United Kingdom
- Company Size: 1,000+ employees
- Trust Rating: 95 / 100 (Official Registry Audited)