Machine Learning Research Scientist with AI and Structural Biology Expertise

7 days ago


MontréalOuest, Quebec, Canada Tbwa ChiatDay Inc Full time

About Valence Labs

Valence Labs is a pioneering research and development engine within Recursion dedicated to accelerating scientific breakthroughs and improving lives.

We combine the intellectual freedom of academia with the resources and stability of industry, focusing on the development of highly-autonomous systems that spearhead a fundamental shift in the way treatments are discovered and developed for complex diseases.

Our research is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, are deeply committed to open-science and open-source, and maintain some of the largest and most active research communities in our industry.

About the Role

We're seeking an experienced Machine Learning Researcher to shape and lead the development of software and AI systems that drive our mission to accelerate scientific breakthroughs and improve lives.

You will be responsible for developing and implementing generative models (e.g., diffusion models, flow matching, score-based models), collaborating with researchers to push forward projects involving molecule, protein, and 3D structure generation, staying abreast of the latest advancements in generative AI, and applying them to our structural data.

Key Responsibilities

  • Develop and implement generative models for molecular, protein, and 3D structure generation.
  • Collaborate with researchers to advance projects in biomedical science.
  • Stay up-to-date with the latest advancements in generative AI and apply them to our structural data.
  • Collaborate with an interdisciplinary team of scientists to inform and improve our models and systems.
  • Engage with and contribute to open-source libraries developed by Valence and the research community.

Requirements

  • PhD or Master's degree with industry experience.
  • Demonstrated expertise in generative models and experience applying them to biomedical science.
  • Proficiency in handling structural biology data and understanding of biochemical principles.
  • Strong programming skills and understanding of modern software development practices, especially in Python.
  • Experience in building and deploying high-performance implementations of deep learning algorithms.
  • Proven track record in machine learning, including designing new architectures, hands-on experimentation, analysis, visualization, and model deployment.


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