Senior Data Engineer

About Altis Labs
Altis Labs is the computational imaging company accelerating clinical trials with AI. We are on a mission to help get the most effective novel treatments to patients sooner. Simplistic imaging interpretation methods like RECIST 1.1 are known to often over- and underestimate efficacy in clinical trials, resulting in failure-prone drug development.

Top 20 biopharma sponsors like AstraZeneca and Bayer Pharmaceuticals use our AI models trained on the industry's largest cancer imaging database to measure treatment effect with greater confidence. Our fully-automated AI models predict overall survival differences from longitudinal CT scans so that sponsors can optimize trial design and accelerate development of their most promising drugs.

Founded in 2019, Altis is a venture-backed AI company headquartered in Toronto. We are actively growing our team in Canada and the US across functional areas.

About the Position
Altis is seeking a Senior Data Engineer who will play a crucial role on our team. He/she should bring multiple years of industry experience building scalable, production-grade data services products that power machine learning (ML) applications. The successful candidate will be responsible for building data infrastructure and services that operationalizes petabytes of medical imaging data and associated clinical data. Our data service enables our team to query data, train computer vision models, and deploy models in a scalable way. He/she ideally has experience working with clinical data and will work closely with our software engineering team, ML scientists, and external stakeholders.

Responsibilities & Expectations:

• Build and maintain a scalable data service to enable AI model training and deployment
• Collaborate closely with our expert team of ML scientists, software engineers, and clinicians
• Present your work to team members, clients, and at conferences

Qualifications:

• 3+ years of building scalable, production-grade data services products that power machine learning (ML) applications.
• 3+ years of working with electronic medical records (EMR), DICOM, or other clinical data
• Demonstrated experience with ETL processes, data modeling, and data warehousing
• Knowledge of SQL, RDBMS, and NoSQL databases, including design, implementation, and optimization
• Strong programing skills in languages including Python and C++
• Experience with cloud based frameworks including AWS, GCP or Azure and architecting cloud solutions
• Experience with Git, or equivalent version control system
• Experience with distributed computing
• Experience with test-driven development and common software test frameworks
• Excellent written and verbal communication skills in English

Nice to have:

• Experience in the medical domain including DICOM and other imaging modalities and experience working in the field of oncology
• Experience with Kubernetes, Kubeflow or other associated MLOps tools
• Experience building deep learning models on 3D data, such as in autonomous driving
• Experience using statistical tools such as R

Benefits:

• Competitive pay and generous equity participation
• Coverage for medical, vision, and dental insurance
• 4 weeks of vacation per year
• Flexible work organization and access to remote work