Top Research Jobs in Toronto

Partner with People Operations to support employees across Canada and the U.S. Manage onboarding, offboarding, HRIS and benefits administration, employee relations, leave and compliance. Prepare workforce reports, drive process improvements using HR technology and AI, support audits and strategic projects, and provide backup recruitment support while building cross-functional relationships to deliver excellent employee experiences.

Lead development and refactor optimization algorithms in Python for pricing and supply‑chain problems. Design and implement predictive models and mathematical optimization solutions, collaborate with cross‑functional teams, coach data scientists, and translate business requirements into data‑driven pricing and replenishment strategies.

Lead development and governance of Canopy's data, research, and knowledge systems. Coordinate cross-team research, establish data quality and provenance standards, oversee dashboards/maps/calculators and AI-enabled workflows, translate technical research for non-specialists, and manage internal staff plus external researchers to support reports, decision tools, and thought leadership.

Support development of tokenized equity products by conducting due diligence, building financial and commercial models, performing market and competitor research, preparing committee memos and presentations, tracking ECM activity, and owning research workstreams through transaction execution.

Founding research hire to develop clinical reasoning and computer-use models using proprietary hospital and clinic data. Own end-to-end training and evaluation pipelines, design benchmarks exposing LLM weaknesses on clinical reasoning, run experiments, and publish technical reports and papers. Collaborate closely with founders and deploy research into products that improve physician workflows.

The Frontend Engineer will implement UI features, automate UI testing, and oversee production releases while focusing on user experience in the blockchain space.

The Backend Engineer will implement new SDK and Indexer features, automate testing, support integration, and oversee production releases.

Translate cutting-edge ML and physics research into production-grade scientific code, architect and scale large simulation and training pipelines on GPU infrastructure, optimize hardware-level performance, support models through full product lifecycle, and integrate complex datasets and ML models into external-facing drug and materials discovery products.

Monitor clinical sites through qualification, initiation, monitoring and close-out visits. Build site relationships, ensure patient safety and regulatory/GCP compliance, verify data quality and drug accountability, manage regulatory documentation, and support recruitment strategies to meet enrollment timelines.

Perform and scale assays to quantify immunogenicity of engineered proteins in vitro, run high-throughput immune characterization workflows, maintain lab records and inventories, analyze and present data, and collaborate across teams to inform protein de-immunization efforts.

Lead and establish the UX Research function: design and run mixed-methods research across product lifecycles, translate findings into actionable recommendations, manage and coach UX researchers, coordinate participant recruitment, and embed user insights into innovation and portfolio decisions.

Support cancer education research by planning and coordinating projects, conducting literature reviews and needs assessments, recruiting participants, performing Excel-based statistical analysis, drafting reports and proposals, maintaining program statistics, and liaising with patients and clinical staff.

The Senior Clinical Research Associate is responsible for site management, monitoring visits, training staff, and ensuring compliance with regulatory requirements in clinical research.

As a Manager, Applied Research, you will lead a team of scientists to drive innovative AI research into production solutions, mentor team members, and collaborate with product leaders to define AI strategies.

As a Research Scientist in Neural Reconstruction, you will develop algorithms for 3D/4D scene reconstruction using real-world sensor data, collaborate on large-scale simulation systems, publish research and mentor junior scientists.

Develop algorithms for World Models focusing on large-scale modeling for dynamic 4D environments. Conduct research in generative and predictive modeling, collaborate with engineers, and mentor junior scientists.

Perform site qualification, initiation, monitoring, management and close-out visits (on-site or remote) ensuring ICH-GCP/GPP and protocol compliance. Verify informed consent, perform source document review and CRF verification, manage investigational product inventory, reconcile ISF with TMF, document monitoring activities, support recruitment and audit readiness, liaise with sponsor and site staff, and may mentor junior CRAs or support RW late-phase activities.

Lead end-to-end consumer research programs (qualitative and quantitative), design methods, run segmentation and multivariate analysis, generate actionable insights to inform strategy, pilot new methods including AI approaches, partner with cross-functional teams, present to senior clients, and coach junior researchers while managing budgets, timelines and resources.

Operate and improve an in-house AAV vector core: run weekly AAV production from cell culture through purification, perform QC assays (titer, purity, genome integrity), maintain ELN lot records and inventories, follow and update SOPs, troubleshoot production issues, and coordinate handoffs with program teams to ensure consistent, high-quality vectors.

Provide expert legal and business research to attorneys and staff using advanced research tools; advise on research strategy; manage research workflow; develop training, onboarding, newsletters, and intranet content; evaluate and recommend online resources; support continuous learning and Research Services initiatives.

Lead a research engineering team to deliver AI solutions from prototype to production. Manage cross-functional delivery with product and applied scientists, drive technical roadmap and infrastructure, mentor engineers, champion advanced engineering practices, and own rollout of business-critical, customer-facing features while balancing technical debt and scalability.

The Research Scientist will develop and enhance simulation agents using advanced machine learning techniques, mentor junior team members, and publish research findings.

The AI Specialist will integrate AI technologies into R&D processes, develop automation tools, collaborate with researchers, and maintain high-quality production code.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Conduct research and design AI data-security and privacy architectures for endpoint devices. Prototype and build privacy-preserving defenses, analyze emerging attack vectors and regulations, and collaborate with global labs and product teams to transition research into production-grade endpoint security solutions.