Data Science Specialist (Senior Product Lead)

Union: Non-union
Number of vacancies: 1
New or Replacement Position: New
Site: MaRS
Department: Research
Reports to: Senior Scientist
Salary Range: $89197 - $133809 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 () 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 AIRCHECKs 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.

Qualifications :

• Masters 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.

Additional Information :

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 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 UHNs 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 candidates for this position.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading inaccurate or incorrect UHN reserves the right to discontinue with the consideration of their application.

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.

We thank all applicants for their interest however only those selected for further consideration will be contacted.

Remote Work :

No

Employment Type :

Full-time