Software Developer at University Health Network (UHN) in Toronto, ON

  • Company: University Health Network (UHN)
  • Location: Toronto, ON, ca
  • Salary: $82K – $102K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-11-03

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Job description

Union:  Non-Union Number of Vacancies : 1 New or Replacement Position:  New Site:  MaRS Department:  Research Reports to:  Senior Scientist Salary Range: $81, 816 - $102,270 per year Hours:  37.5 Hours Per Week Shifts:  Day Shifts Status:  Permanent Full-time Closing Date:  November 17, 2026 Position Summary We seek a talented Data/Software Engineer passionate about advancing drug discovery through cutting-edge technology and open science collaboration to join our team at the Structural Genomics Consortium (SGC) in order to develop a cloud-based platform that will revolutionize the drug discovery process. As a Data/Software Engineer at SGC, you will be at the forefront of developing a cloud-based platform called AIRCHECK (Artificial Intelligence-Ready CHEmiCal Knowledge base). This platform will facilitate the global sharing of chemical screening data following FAIR and Open science principles. The data will be highly structured and well-annotated, optimizing the development and application of machine learning and artificial intelligence approaches in drug discovery. Duties Collaborate with multidisciplinary teams to design, implement, and maintain the AIRCHECK cloud-based database and data portal. Develop data pipelines and storage solutions to ensure efficient data collection, curation, and accessibility for global scientific communities. Integrate advanced data analytics and AI capabilities into the platform to facilitate the prediction of drug-like molecules for pre-defined protein targets. Ensure data security, privacy, and compliance with relevant regulations and best practices. Continuously monitor and optimize platform performance and scalability to handle massive datasets. Bachelor's or higher degree in Computer Science, Software Engineering, Data Science, or a related field required Minimum 2 years of experience in software development or a related field required Proven experience in data engineering and cloud-based application design Strong proficiency in Python, JavaScript or TypeScript Experience building production web applications with a modern React framework (Next.js, Remix, etc.) Solid backend development experience with Express.js Comfortable owning a website end to end — frontend, backend, and the glue between them CI/CD experience, ideally Jenkins Docker and Kubernetes Databricks, PySpark Experience designing or building ETL pipelines Familiarity with AI/ML tools for data analysis or prediction Cloud platform experience — GCP or Azure; AWS is a plus Big data storage (S3, Azure Data Lake) and analytics services (BigQuery, Redshift) Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. Competitive offer packages Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/ ) Close access to Transit and UHN shuttle service A flexible work environment Opportunities for development and promotions within a large organization Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates.  Please ensure you check your email regularly. At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of

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