Senior Machine Learning Scientist (ML) - Accelerating Drug Discovery with AI

 Published 5 days ago
    
 Canada
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About Us

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.


Opportunity

Join our team as a Machine Learning Research Scientist and drive the development of cutting-edge AI models and algorithms that will shape the future of drug discovery. You will work at the forefront of advancing our AI platform, collaborating with world-class researchers and domain experts to solve complex challenges in RNA biology and accelerate the translation of breakthrough insights into life-changing therapies.


Ideal Candidate

We seek an exceptional individual with a strong research background and a passion for pushing the boundaries of machine learning and its applications in drug discovery. The ideal candidate should have a Ph.D. in Computer Science, Machine Learning, Computational Biology, or a related field. The ideal candidate will have a proven track record of publishing in top-tier conferences and journals, developing machine learning models for production, or both.

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Responsibilities:
  • Develop and implement state-of-the-art machine learning models and algorithms for predictive modeling, sequence analysis, and structural biology.
  • Collaborate with cross-functional teams to design and execute research projects that address critical challenges in RNA biology and drug discovery.
  • Stay up-to-date with the latest advancements in machine learning, bioinformatics, and computational biology, and contribute to the advancement of these fields.


Requirements:
  • Ph.D. in Computer Science, Machine Learning, Bioinformatics, or a related field, with a strong publication record.
  • Expertise in machine learning, deep learning, and neural networks, with a solid understanding of their theoretical foundations.
  • Proficiency in Python and experience with popular machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Strong mathematical and statistical background, with experience in areas such as optimization, probabilistic modeling, and numerical methods.
  • Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.


Nice to have:
  • Experience in bioinformatics, computational biology, or drug discovery.
  • Knowledge of RNA biology, structural biology, or related fields.
  • Familiarity with cloud computing platforms (e.g., AWS, GCP) and distributed computing frameworks.


What we offer:
  • The opportunity to transform drug discovery through AI.
  • A competitive salary plus equity compensation (ESOPs).
  • A wide array of company-paid benefits.
  • Flexibility in remote working.
  • Exceptional opportunities for learning and growth in a world-class team of researchers and software developers, working at the intersection of the most exciting areas of science and technology.


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Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.

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