Deep Genomics is a startup company that aims to revolutionize drug development by leveraging expertise in artificial intelligence (AI) to decode RNA biology. Our proprietary platform, the AI Workbench, enables us to decode the enormous complexity of RNA biology to find novel targets, mechanisms, and molecules that are not accessible through traditional methods. We use this advanced technology to develop steric-blocking oligonucleotides (SBOs) that achieve expression increase for the treatment of genetic disease. Founded in 2015, our multidisciplinary team includes expertise in a diverse range of disciplines including those found in a traditional drug company, as well as machine learning, laboratory automation, and software engineering. Deep Genomics is based in Toronto, Ontario with additional locations in Cambridge, Massachusetts and Montreal, Quebec.

As a Product Manager in the Engineering team, you will innovate and drive product initiatives for our internal research support software. You will play a critical role in our drug development mission by ensuring that the tools and systems we build empower our teams to discover and develop genetic medicines. Our data-driven approach to drug design involves a complex series of steps — from processing raw genomic data, to training and evaluating large-scale machine learning models and applying them to accelerate target discovery and drug design. Each stage of this process requires specialists from multiple domains to collaborate with each other; translating their diverse needs and leading the discovery and development of internal software tools to enable this process is every bit as complex as our scientific research, and will be the primary responsibility of this role.