Software Engineer, Travel (Toronto)

Software Engineer, Travel (Toronto)

31 Aug
|
University Health Network
|
Toronto

31 Aug

University Health Network

Toronto

Compensation: CAD 74114 - CAD 111170 - yearly

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care.

UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.

New or Replacement Position: New

Site: MaRS

Reports to: Senior Scientist

Shifts: Day Shifts

Permanent Full-time

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.

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

Experience building production web applications with a up-to-date 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

Databricks, PySpark

Familiarity with AI/ML tools for data analysis or prediction

AWS is a plus

Big data storage (S3, Azure Data Lake) and analytics services (BigQuery, Redshift)

Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP )

A flexible work environment

Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this position.

Please be advised that a Criminal Record Check may be required of the successful candidate. Requests for accommodation can be made at any stage of the recruitment process. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply #

📌 Software Engineer, Travel (Toronto)
🏢 University Health Network
📍 Toronto

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