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Altis Labs, Inc.
Senior Machine Learning Scientist (CA)Altis Labs, Inc. • Toronto, ON, Canada
Senior Machine Learning Scientist (CA)

Senior Machine Learning Scientist (CA)

Altis Labs, Inc. • Toronto, ON, Canada
14 days ago
Salary
CA$18,808.00 yearly
Job type
  • Full-time
Job description

What We Do


We build AI models to enable smaller, faster, and more successful clinical trials.


About Altis Labs


Altis Labs is a computational imaging company focused on improving how oncology trials measure treatment benefit. Our core technology is IPRO, an AI model that generates patient-level outcome predictions directly from routine medical imaging data. Our global biopharma customers use IPRO to predict efficacy, navigate billion-dollar development decisions with confidence, and move their most promising therapies through Phase I–III trials faster. IPRO is trained on the industry’s largest real-world imaging, clinical, and outcomes database, containing over 210 million longitudinal images and more than one million patient-years of linked outcomes.


Our multidisciplinary team of AI scientists, clinicians, and business operators is on a mission to get the most effective treatments to patients sooner. We collaborate closely with academic medical centers and co-publish our results at top-tier medical conferences.


Altis is headquartered in Toronto, serves 6 of the top 20 global biopharmaceutical companies, and is backed by leading life sciences and technology investors.


What makes this role compelling:



  • Unusually rich data: Access to large, diverse patient datasets with longitudinal outcomes across multiple cancer types

  • Novel methodology: We're developing approaches that push beyond standard practices in medical imaging AI

  • Multi-cancer generalization: Building methods that transfer across cancer types, not one-off solutions


Responsibilities & Expectations:



  • Design and implement deep learning architectures for 3D volumetric medical imaging (CT, PET, MRI)

  • Develop survival models that handle censored outcomes, competing risks, and the statistical nuances of time-to-event prediction

  • Optimize training pipelines to efficiently process large-scale imaging datasets on cloud GPU infrastructure

  • Collaborate with our ML team to establish best practices and push the state of the art

  • Contribute to research publications and present findings at conferences


Qualifications:



  • 7+ years of experience in machine learning, with substantial work in computer vision or medical imaging

  • PhD in machine learning, computer vision, statistics, or a related field preferred; exceptional industry track record considered

  • Deep expertise in 3D vision—experience with volumetric architectures (3D CNNs, Vision Transformers for 3D data, etc.)

  • Strong foundation in survival analysis and time-to-event modeling (Cox models, deep survival models, competing risks)

  • Proven ability to train large models efficiently at scale—you understand distributed training, memory optimization, and what it takes to iterate quickly on big data

  • Proficiency with PyTorch and modern ML infrastructure

  • Track record of impactful research (publications, deployed systems, or equivalent demonstrations of technical depth)


Nice to have:



  • Experience with medical imaging foundation models or self-supervised learning on unlabeled imaging data

  • Background in uncertainty quantification: calibrated predictions, conformal prediction, Bayesian deep learning

  • MLOps experience: productionizing models, CI/CD for ML, model monitoring

  • Familiarity with oncology, radiology, or regulated healthcare environments


Benefits:



  • Competitive pay and generous equity participation

  • Coverage for medical, vision, and dental insurance

  • 4 weeks of vacation per year

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Senior Machine Learning Scientist (CA) • Toronto, ON, Canada

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