Full Stack Software Engineer
Posted 4 Sep 2026
Advertised as “Senior Full-Stack Software Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's
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.
The Role
Altis Labs is recruiting a Senior Full-Stack Software Engineer with an entrepreneurial, product-focused mindset. You'll design and implement testable, scalable code as we expand our internal tooling and web-based software product — building critical features from the ground up and delivering efficiently without bureaucracy. We're looking for someone who can wear many hats. Concretely, you'll own large parts of two areas: Nota, our clinical annotation and data-curation platform, and the ML inference infrastructure that serves our imaging models in production. Responsibilities are dynamic and will expand as we grow to meet our team's and clients' needs.
Our Stack
Area Technologies: Nota React · Express.js · FastAPI · Hasura GraphQL · PostgreSQL · AWS ECS (Fargate) · RDS · Terragrunt
Clinical DB: DuckDB · AWS S3 · Terraform
Inference pipeline: Ray Serve on Kubernetes · PostgreSQL · AWS EKS · RDS · S3 · Terraform · ArgoCD
Cross-cutting: GitHub Actions · Slurm · GCP · Azure · Docker
Responsibilities
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Design and build scalable applications for data acquisition, management, and visualization using best practices
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Build and maintain features across the full stack of Nota — from React components through GraphQL schemas to Postgres query performance