Machine Learning Scientist (Biology or Chemistry Experience)
ProteinQure
- Toronto, ON
- Permanent
- Full-time
- Perform research and development of new methods for learning from protein sequence and structure datasets
- Unsupervised learning of protein/peptide sequence representation to assist in downstream machine learning engineering within the platform
- Development of supervised learning algorithms for protein structure prediction, protein-protein interaction prediction, and protein property prediction
- Work with data sets that are diverse in type and size (sparse/big data sets, 3D models, amino acid sequences, structural features)
- Work side-by-side with chemists, biologists, and software engineers to develop drug candidates
- Assist software engineering team in deployment of ML tools at scale
- Help create optimization protocols incorporating predictive tools in ProteinQure platform
- Present our work at major conferences and to customers
- PhD in relevant field OR or multiple years of working experience
- Knowledge of biology, familiarity with biological data (sequence, structure)
- Peer-reviewed publications on applications of machine learning in biology, or new methods in natural language processing or computer vision
- Experience with other computational tools for biology
- Experience working with multiple developers with distributed version control (Git)