Graduate Research Intern (Machine Learning)

Deep Genomics

Toronto, Ontario, CA
  • Job Type: Intern
  • Function: Intern
  • Post Date: 02/08/2021
  • Website:
  • Company Address: MaRS Centre 661 University Ave, Suite 480, Toronto, ON, M5G 1M1

About Deep Genomics

Deep Genomics is using artificial intelligence to build a new universe of life-saving genetic therapies.

Job Description

We are seeking exceptional graduate students for an 8 to 12-month internship in 2020. Deep Genomics is poised to become the foremost AI-powered genetic medicine company by using data-driven approaches at every step of the drug design process. This involves a 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. With the help of experimental data generated as part of our drug discovery process, our models continuously improve by learning from both successes and failures. Successful candidates will have an opportunity to contribute to the AI revolution in Genomics and help better understand and cure genetic disease by working closely with our research scientists and engineers on problems that are highly relevant to our mission.
Our ML team works on developing our state-of-the-art AI workbench and using it to answer critical scientific questions. Collaboration is at the heart of our teams, we often:
- Meet with engineers and scientists with genomics, molecular biology, and medicine backgrounds to identify unique problems and brainstorm technical solutions
- Present our analyses to a broad multi-lingual audience to ensure statistical robustness and reproducibility
- Organize internal hackathons to quickly prototype solutions to problems


  • Currently enrolled in a graduate program at a top-tier university in Computer Science, Electrical or Computer Engineering, Mathematics, or a related discipline.
  • Experience with designing, training, debugging and evaluating neural networks using modern frameworks such as Tensorflow or PyTorch.
  • Excellent scientific writing and presentation skills.
  • Programming experience in at least one of Python, C or C++
  • Strong organizational, interpersonal, and communication skills

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.