Top Tech Jobs & Startup Jobs in Toronto

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

The Lifecycle Coordinator manages lead nurture campaigns, ensuring timely communication through operational execution, QA, and deployment in Iterable, while coordinating with team members and maintaining documentation.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

Design, develop, and optimize data infrastructure, focusing on GCP, ETL/ELT workflows, and data governance, while collaborating with cross-functional teams.

Lead and execute undefined, high-priority external-facing projects end-to-end: research new domains, build and ship products or business lines, drive multi-million dollar initiatives, make decisions with incomplete information, and align cross-functional stakeholders including product, engineering, clinical, legal, and finance.

Strategic individual contributor partnering with C-suite and senior leaders across G&A, GTM, and Clinical to shape org strategy, structure, talent, and leadership. Drive hiring, performance management, restructuring, and organizational effectiveness during rapid growth, coaching leaders to build high-performing teams and reduce friction while scaling.

Lead full‑stack development of the imaging web platform: architect and build ASP.NET Core services and Vue frontends, design secure APIs integrating EMRs and AI, own testing, CI/CD, and Azure deployments, mentor engineers, and collaborate with product, design, and clinical teams to deliver performant, reliable screening experiences.

Lead design and delivery of full-stack imaging features, architect high-performance ASP.NET Core services, build Vue frontends, integrate APIs with EMRs and imaging partners, mentor engineers, enforce automated testing, CI/CD and observability, and drive technical roadmap in an Agile team.

Own and architect the semantic layer and metrics/metadata for the data platform (Databricks/GCP). Build AI-ready models, enforce modeling and documentation standards, implement observability/testing for pipelines, enable self-serve analytics, and collaborate across product, clinical, and business teams to translate questions into reliable data solutions.

Lead frontend architecture and product development for member-facing web and mobile apps. Build high-performance, accessible React/React Native UIs, own end-to-end features including APIs and backend services, mentor engineers, drive design system and frontend standards, and collaborate with Product, Design, Clinical, and Data teams to deliver scalable, user-centered health experiences.