Machine Learning Team Lead

I am working with an exciting start-up located in Toronto who is building a computational platform for design of protein therapeutics. They work on treatments for cancer, diabetes, asthma, and cardiovascular diseases, among others, and partner with industry leaders in drug discovery to generate novel therapeutics outside of the conventional chemical space.

Their technology combines computational biophysical models with statistical and machine learning approaches to enable them to search across vast spaces of protein therapeutics. Building and deploying these computational modules using a scalable cloud computing infrastructure and complement their predictions with results from wet lab experiments. Utilizing advanced computing architectures based on high-performance GPUs, TPUs and investigate novel methodologies in biophysical modelling and quantum computing.

We're looking for a Machine Learning Lead to join our team in Toronto (Canada). This is a player-coach role and will require a contribution to individual projects as well as managing a growing team.

Responsibilities

• Work side-by-side with chemists, biologists, and software engineers to develop drug candidates
• Unsupervised learning of protein/peptide sequence representation to assist in downstream machine learning engineering within the platform
• Create culture and processes for machine learning team which balances research with applications
• Perform research and development of new methods for learning from protein sequence and structure datasets
• Development of supervised learning algorithms for protein structure prediction, protein-protein interaction prediction, and protein property prediction. This includes ML/Data Science models such as Gaussian processes, logistic regression etc in the context of creating new drugs
• Work with data sets that are diverse in type and size (sparse data sets, 3D models, amino acid sequences, structural features)
• Help build and manage a small ML team (2-3 others) in the context of a large computational R&D company

Nice to haves

• Experience working with developers with distributed version control (Git)
• Management experience
• Startup experience
• Peer-reviewed publications on applications of machine learning in biology, or new methods in natural language processing or geometric deep learning
• Experience with biology

Requirements

• 2+ years work experience
• Willing to work at Toronto office 4 days a week
• Have been part of machine learning team in a non-academic setting or deep experience with protein structure

If interested, please apply.

[email protected]

Equal Opportunity Employer/Disability/Veterans