Staff Research Scientist, Machine Learning

2 weeks ago

Toronto, Ontario, Canada KenkoTech Futures Full time $120,000 - $200,000 per year

Job Title:
Staff Research Scientist, ML

Location:
USA / Canada (On-Site / Remote)

Stage:
Series C (~$250M funding)

PLEASE FOLLOW THE KENKOTECH PAGE AND CONNECT WITH THE JOB POSTER

About the Opportunity:

We're partnering with a trailblazing biotech harnessing artificial intelligence to transform how medicines are discovered. Their proprietary AI platform fuses machine learning, bioinformatics, and large-scale genomic data to uncover novel drug targets and mechanisms unreachable by traditional methods.

As a
Senior / Staff Machine Learning Scientist
, you'll join an elite research team advancing the frontier of AI in biology. You'll design, train, and scale cutting-edge deep learning models across massive biological datasets—turning complex data into breakthrough insights that power the next generation of genetic medicines.

Responsibilities:

  • Develop and lead research on advanced deep learning architectures and training paradigms (supervised, self-supervised, generative, multi-modal) for large-scale biological and genomic data
  • Collaborate with computational biologists and domain experts to design scientifically meaningful machine learning tasks and models
  • Implement, train, and optimize high-performance models that generate interpretable insights from complex datasets
  • Stay ahead of emerging trends in AI and identify opportunities to apply cutting-edge ML research to real-world biological problems
  • Mentor and guide junior scientists and engineers, fostering a culture of technical excellence and collaboration
  • Present findings internally and externally through talks, publications, and cross-functional discussions

Qualifications:

  • PhD (or equivalent experience) in Machine Learning, Computer Science, Statistics, Physics, or a related quantitative discipline
  • Deep understanding of modern deep learning methods (e.g., Transformers, state-space models, LLMs) and hands-on experience with frameworks such as PyTorch or JAX
  • Proven success developing, training, and deploying ML models on large, complex datasets
  • Strong problem-solving ability and a track record of delivering innovative, high-impact research
  • Excellent communication skills and the ability to collaborate effectively with cross-disciplinary teams
  • (Preferred) 2+ years of postdoctoral or industry experience, with publications in top-tier ML venues (e.g., NeurIPS, ICML, ICLR) and experience mentoring or leading research projects

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