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About the Role

AIRCHECK 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.

Responsibilities

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 engagement strategies, feedback loops, release cycles, onboarding processes, and platform success metrics.
Identify operational risks, bottlenecks, dependencies, and resource gaps, and proactively propose solutions to keep the project on track.
Foster a collaborative, accountable, and high-performing team culture that bridges academic research excellence and values with professional software product delivery.

Requirements

Master's Degree or PhD in Computer Science, Software Engineering, Data Science, Bioinformatics, Computational Biology, Cheminformatics, Engineering, or a related field; equivalent industry experience will also be considered.
7+ years of experience in software development, data platforms, AI/ML platforms, scientific computing, or related technical environments.
Demonstrated experience leading software or data product initiatives involving multiple developers and cross-functional teams.
Strong understanding of modern software engineering practices, including agile development, product roadmaps, sprint planning, issue tracking, version control, testing, release management, and documentation.
Experience managing technical teams and coordinating contributors with different backgrounds, such as software engineers, data scientists, AI/ML researchers, domain scientists, and external collaborators.
Experience with cloud-based platforms and scalable data infrastructure; familiarity with Google Cloud Platform, Microsoft Azure, or Amazon Web Services is highly desirable.
Familiarity with AI/ML workflows, MLOps, data pipelines, APIs, databases, and large-scale scientific or biomedical datasets.
Ability to translate scientific and user needs into clear technical requirements, priorities, and deliverables.
Excellent communication, organizational, and leadership skills, with the ability to bring structure to complex, evolving projects.
Experience working with academic, non-profit, public-private partnership, or open science initiatives is an asset.
Experience in drug discovery, cheminformatics, bioinformatics, structural biology, chemical biology, or biomedical AI is preferred but not required.
A commitment to open science, FAIR data principles, reproducible research, and building resources that serve a broad scientific community.

Skills

Software product development
Engineering operations
AI-enabled platforms
Cloud-based platforms
Scalable data infrastructure
Agile development
Product roadmaps
Sprint planning
Issue tracking
Version control
Testing
Release management
Documentation
AI/ML workflows
MLOps
Data pipelines
APIs
Databases
Large-scale scientific or biomedical datasets
Google Cloud Platform
Microsoft Azure
Amazon Web Services
Drug discovery
Cheminformatics
Bioinformatics
Structural biology
Chemical biology
Biomedical AI
Open science
FAIR data principles
Reproducible research

Location

MaRS

Work Type

Permanent Full-time

Experience Level

7+ years of experience
Senior leader

Education Level

Master's Degree or PhD

Salary/Compensations

CAD 89,197 - CAD 133,809 annually

Benefits

Competitive offer packages
Member of the Healthcare of Ontario Pension Plan (HOOPP)
Close access to Transit and UHN shuttle service
A flexible work environment
Opportunities for development and promotions within a large organization
Multiple corporate discounts (travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

About the Company

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.

Equal Opportunity

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace.
Requests for accommodation can be made at any stage of the recruitment process.
Applicants need to make their requirements known.