Top Research Jobs in Toronto

Leads real-world evidence and health economics and outcomes research strategies, studies, analyses, and payer submissions supporting reimbursement, pricing, policy, and market access for AbbVie products in Canada. Partners with internal teams, payers, researchers, data organizations, and consultants; manages publications, budgets, timelines, data quality, and regulatory compliance. Requires expertise in Canadian health technology assessment, pharmacoeconomics, RWE methodologies, and healthcare data sources.

Design, implement, and deploy efficient adaptive machine learning systems that retrain or fine-tune models using production data. The role combines applied research with production engineering, including data strategy, model evaluation, online learning, reinforcement learning, observability, and real-world product development. The engineer will own data products, solve novel technical challenges, and collaborate closely with the founding team on research and product direction.

Leads immunology clinical research from target prioritization and preclinical translation through first-in-disease programs. Partners with discovery, translational medicine, clinical development, and business development teams to evaluate assets, shape clinical strategies, design early-phase studies, define biomarkers and patient populations, and support go/no-go decisions. Serves as a hands-on clinical subject matter expert in autoimmune and inflammatory diseases, representing the organization with scientific leaders, investigators, regulators, and internal stakeholders.

Develop computer vision and vision-language models for image and video understanding in restaurant environments. Build datasets, training strategies, evaluations, and benchmarks; diagnose model failures; and deploy efficient, reliable inference pipelines. The role combines research and engineering across scene understanding, object tracking, activity recognition, temporal reasoning, visual grounding, and multimodal models, while partnering with product and infrastructure teams to bring research into production.

Conduct qualitative and quantitative UX research for Lyft drivers and riders using interviews, usability testing, field research, surveys, diary studies, and other methods. Analyze research data, develop actionable insights, and communicate recommendations that guide product and design improvements. Collaborate with Design, Product Management, Analytics, Engineering, and senior researchers while gaining mentorship and contributing to user-facing products.

Develop signal processing algorithms for camera, LiDAR, radar, and other autonomous-driving sensor data. Design acquisition, fusion, filtering, and learning-based methods; optimize them for CPU, GPU, DSP, and specialized accelerators; and collaborate with autonomy and hardware teams to deliver reliable, low-latency production systems. The role also supports experimental validation and potential research publications.

Manage a three-year CIHR-funded research grant and co-lead population health studies focused on public health systems, opioid crisis responses, and substance use. Responsibilities include developing protocols, collecting and analyzing qualitative and quantitative data, conducting policy analysis and evidence synthesis, writing grants and manuscripts, presenting findings, engaging stakeholders, and supporting trainees and research staff.

Manage market research studies from launch through completion, including questionnaire setup, quality checks, data verification, coordination with data collection and processing teams, issue resolution, and survey analysis. Generate actionable insights from research results while managing multiple projects, deadlines, and stakeholder needs. The role requires strong communication, analytical, organizational, problem-solving, and Microsoft Office skills.

Coordinates and manages patients participating in oncology clinical trials, including sample collection and shipment, clinical assessments, vital signs, ECGs, treatment administration, data collection, and source documentation. Collaborates with investigators and healthcare teams while following study protocols, UHN policies, and ICH/GCP guidelines. Provides clinical care, patient education, and research coordination across pharmaceutical-sponsored, cooperative group, and investigator-initiated studies.

Coordinates supportive care clinical research studies, including participant recruitment, informed consent, study visits, data collection, database and source documentation, ethics submissions, protocol development, statistical analysis, manuscripts, grants, and conference preparation. The coordinator also maintains study files, supports research students, facilitates meetings, and ensures compliance with UHN policies and ICH/GCP guidelines.

Leads eBay’s enterprise UX research systems and operations strategy. Owns modernization of participant recruitment, panel management, incentives, compliance, research tooling, knowledge management, and operational infrastructure. Drives AI-enabled automation, self-service research, data quality, governance, and scalable customer insight capabilities. Builds and leads teams, develops multi-year transformation roadmaps, secures executive alignment and investment, and partners across Design, Product, Engineering, Legal, Privacy, Procurement, and Insights.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Assists with coordinating Phase I clinical trials from protocol approval through study closure. Responsibilities include preparing research environments, scheduling and supporting participants, conducting specified assessments such as vital signs, collecting medical documents, processing reimbursements, ordering supplies, transcribing data, and maintaining electronic and paper study files while following research regulations and confidentiality requirements.

Executes rodent in vivo studies across multiple drug discovery programs, including dosing, blood collection, necropsy, tissue harvesting, sample processing, animal monitoring, and study documentation. Coordinates timelines and sample needs with scientists, operational leads, and vivarium staff. Ensures IACUC compliance, animal welfare, data integrity, and protocol adherence while troubleshooting routine issues. Provides technical training and flexible weekend or time-sensitive study coverage.

Coordinate intake, documentation, and tracking of software and AI tool requests. Gather requirements, triage basic research, capture meeting notes and action items, maintain inventories, and partner with IT, security, and stakeholders to escalate risks and drive decisions.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.

Build and scale secure automated patching infrastructure for open-source vulnerabilities. Develop Rust and Unix-based CLI tools, package-manager integrations, APIs, testing tools, and developer-facing remediation workflows. Debug ecosystem-specific issues, contribute to JavaScript, React, and TypeScript frontends, and collaborate with security researchers to deliver certified packages and high-quality patches at scale.

Manages early-phase clinical research projects from initiation through closure, coordinating sponsors, sites, CRAs, vendors, and internal teams. Oversees site activation, recruitment, monitoring deliverables, regulatory documentation, training, budgets, timelines, quality, risk, and change control. Supports clinical monitoring, TMF inspection readiness, data review, study trackers, and dashboards while ensuring compliance with GCP, ICH, FDA, Canadian regulations, SOPs, and study requirements.

Supports digital marketing and patient recruitment campaigns by launching ads, monitoring KPIs, analyzing performance, updating study materials, coordinating sponsor revisions, and tracking deliverables. The role collaborates with internal teams, sponsors, and external partners while maintaining accurate campaign information and compliance-aligned content across multiple platforms.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.

Design, prototype, test, and troubleshoot curtain wall and façade systems and components. Provide hands-on technical support, collaborate with design and engineering teams, improve manufacturing and installation efficiency, and ensure products meet industry standards, client specifications, and safety requirements. Travel within Canada and the United States for up to one week at a time.

Produce forward-looking, objective research and ratings on funds and other investment vehicles. Conduct quantitative and qualitative analysis using Morningstar databases, interview managers, monitor regulatory information, perform on-site due diligence, and contribute to analytical tools and thought leadership.

Lead AI and data industry research, publications, and open-innovation ecosystems. Build strategic partnerships with academia, startups, and government. Advise the Chief AI and Data Officer, drive thought leadership, ensure responsible AI governance, manage strategic initiatives, and shepherd analytics, change management, and cross-enterprise collaboration to scale AI solutions.

Build infrastructure and software for training, deploying, scaling, monitoring, and operating machine-learning models and optimization algorithms for supply-chain applications. Responsibilities include translating supply-chain use cases into mathematical models, developing ML and optimization systems in C++ and Python, designing automated testing strategies, and supporting cloud or containerized workloads. The role also involves research into heuristics, optimization, GPU computing, MLOps, and AI-assisted software development.

Develop and optimize supply-chain algorithms by translating real-world problems into mathematical models. Lead C++ implementation, investigate heuristics and optimization techniques, and create comprehensive functional, regression, performance, unit, and integration tests. Collaborate with agile teams and stakeholders while improving software quality, development speed, and platform capabilities. Experience with commercial mathematical solvers, data structures, algorithms, and AI-assisted development is valued.