Machine Learning Scientist

2 weeks ago

Vancouver, British Columbia, Canada Harnham Full time

Join this innovative company and contribute to transforming how new medicines are discovered. Their mission is to significantly reduce the time it takes to bring new drugs to market by leveraging AI models to design drug-like molecules, predict their safety, and optimize their effectiveness. With high expectations from investors and a need to scale rapidly, this is an exciting opportunity to join a growing team at the forefront of AI-driven drug discovery.

The Role

As a Machine Learning Scientist, you will play a critical role in designing, implementing, and optimizing ML models that accelerate drug discovery. You will work closely with other ML experts to build and test various AI architectures for drug-like molecules, ensuring they are safe and effective. Your work will contribute to reducing drug development timelines from years to months, making a direct impact on the future of healthcare.

In this role, you will:

  • Develop and test machine learning models to design and optimize drug-like molecules.
  • Collaborate with pharmaceutical companies to test AI-generated molecules and analyze their effectiveness.
  • Build predictive models for protein interactions, dosing, and efficacy.
  • Continuously refine AI tools and algorithms to improve the accuracy and speed of drug discovery.
  • Work within a small, tight-knit team of experts dedicated to delivering innovative healthcare solutions.

Role Requirements

  • PhD or Masters in Computer Science, Mathematics, or a closely related field.
  • FIRST AUTHOR non-workshop publications in top-tier conferences (NeurIPS, ICLR, ICML, AAAI, AISTATS, UAI, CVPR, ICCV, ECCV).
  • 2+ years of experience in developing machine learning models, either in academia or industry.
  • Strong understanding of diffusion models, Bayesian optimization, and transformers.
  • Experience working on ML models for complex problem-solving and product development.

Required Skillsets

  • Proficiency in Python and PyTorch is essential.
  • Expertise in developing ML models and optimizing their performance.
  • Strong coding skills and experience with ML frameworks and toolkits.
  • Experience in working with complex datasets and applying machine learning to solve real-world problems.
  • Strong communication skills to work effectively with a small team and external stakeholders.

If you're passionate about machine learning and eager to make an impact in healthcare, apply today

Benefits:

$160k - $190k base + bonus

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