Machine Learning Scientist

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