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Research Scientist
3 months ago
About Us
Deep Genomics is a biopharmaceutical 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 located in Toronto, Ontario and Cambridge, Massachusetts.Where You Fit In
What you will do:
- Develop ML models for predicting the effects of genetic variants and oligonucleotide drugs.
- Devise computational experiments to probe the biological significance and interpretation of predictions from neural networks.
- Present research findings and ideas to internal stakeholders as well as the external research community through talks, poster presentations, technical blogs etc.
What you bring:
- A Ph.
- Extensive practical experience in systematically designing, training, debugging, and evaluating large neural networks using modern frameworks such as Tensorflow, PyTorch, JAX etc.
- Strong knowledge of machine learning and its mathematical foundations including linear algebra, bayesian reasoning, and vector calculus.
- Excellent scientific writing and presentation skills.
Nice to have:
- Experience with machine learning applied to problems in biology, chemistry, or physics.
- Proven track record of publications at toptier venues.
- Postgraduate experience (postdoc or industry).