Develop AIRCHECK with UHN in Toronto, using cloud engineering and data pipelines to advance open science collaboration in drug discovery.

As a Data/Software Engineer at the Structural Genomics Consortium, you will build a cloud-based platform for sharing structured chemical screening data. Your work supports FAIR and Open science principles while enabling machine learning and artificial intelligence applications in drug discovery. The permanent, full time position reports to a Senior Scientist within UHN’s Research department.

Key Responsibilities:

- Design and maintain the AIRCHECK database and data portal
- Develop pipelines and storage for chemical screening data
- Integrate analytics and AI capabilities for molecule prediction
- Ensure security, privacy,



and regulatory compliance
- Optimize performance and scalability for massive datasets

Requirements:

- Degree in computer science, software engineering, data science, or related field
- At least two years of software development experience
- Data engineering and cloud application design experience
- React framework, Express.js, CI/CD, Docker, and Kubernetes experience
- Databricks, PySpark, cloud, big data, and AI/ML familiarity

Bring full-stack development, cloud data engineering, and AI/ML knowledge to AIRCHECK’s scientific platform at UHN.

📌 Data Software Engineer AIRCHECK Platform (Toronto)
🏢 University Health Network
📍 Toronto