Data Science Specialist (Senior Product Lead
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.
UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.
Union: Non-union
Number of vacancies: 1
New or Replacement Position: New
Site: MaRS
Department: Research
Reports to: Senior Scientist
Salary Range: $89,197 - $133,809 annually
Hours: 37.5 hours per week
Shifts: Monday - Friday
Status: Permanent Full-time
Closing Date: August 12, 2026
Position Summary:
We seek an experienced senior leader in software product development, engineering operations, and AI-enabled platforms to join the AIRCHECK team at the Structural Genomics Consortium (SGC). AIRCHECK, the Artificial Intelligence-Ready CHEmiCal Knowledge base (aircheck.ai), is a cloud-based platform designed to enable the open and FAIR sharing of large-scale chemical screening data for the global drug discovery community.
The successful candidate will play a central leadership role in transforming AIRCHECK from a research-driven platform into a well-managed, scalable, and widely used scientific product. This role is ideal for someone with experience leading software initiatives involving multiple developers, multidisciplinary teams, complex technical roadmaps, and a substantial user base. The candidate may come from industry, academia, or a hybrid environment, but must bring strong experience in product delivery, team coordination, software development processes, and stakeholder management.
The AIRCHECK team operates within an academic and open science environment while adopting product and engineering practices inspired by industry. The candidate will work closely with the scientific lead, software developers, AI/ML experts, data engineers, and collaborators across the SGC and its partner industries and institutions to ensure that AIRCHECK is delivered with clear priorities, milestones, timelines, and measurable outcomes.
Duties:
- Lead the planning, coordination, and execution of AIRCHECK’s software product roadmap, ensuring alignment between scientific goals, user needs, technical feasibility, and long-term sustainability.
- Manage and coordinate a multidisciplinary team of software developers, data engineers, AI/ML scientists, and technical contributors working on the AIRCHECK platform.
- Establish and maintain clear product development processes, including roadmap definition, agile workflows, sprint planning, milestone tracking, deliverable management, and regular reporting.
- Translate high-level scientific and strategic objectives into concrete technical plans, implementation priorities, timelines, and measurable deliverables.
- Work closely with scientific leadership to ensure that AIRCHECK supports the needs of the SGC and the broader open science and drug discovery communities.
- Shape a scalable, reliable, and intuitive platform that accelerates drug discovery by making AI-ready chemical screening data, AI/ML models, metadata, and related resources easy to share, access, and use.
- Coordinate priorities across platform components, including data ingestion, data curation, APIs, user interfaces, cloud infrastructure, documentation, analytics, AI/ML integration, and user support.
- Ensure that development practices support reproducibility, security, version control, testing, documentation, deployment, and long-term maintainability.
- Help define user…
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