Top Research Jobs in Toronto

Conduct fundamental research on companies and sectors, build financial models and valuations, generate investment ideas, and present recommendations to portfolio managers. Monitor portfolio holdings, market developments, risks, and investment theses while engaging with company management and industry experts. Prepare written research, contribute to investment discussions, and support analyst development.

Conduct adversarial research against anti-bot and web fingerprinting systems, reverse engineer defenses, build and improve HTTP client solutions and machine-learning data collection methods to scale Bright Data's web data collection platform.

Graduate research co-op focused on building Customer World Models and proactive intelligence: designing representation learning, foundation-model, reinforcement learning, and agentic systems; running experiments, publishing, and deploying research into production to improve long-horizon decision-making and customer-facing automation.

Graduate research internship to own end-to-end research on Customer World Models and proactive intelligence: design representations, develop methods (foundation models, RL, causal reasoning, agentic systems), run experiments, publish, and help ship ML systems that anticipate and act on customer needs.

Conduct baseball research and build predictive models, advanced metrics, and data-driven tools for Baseball Operations. Apply rigorous quantitative research to player evaluation, scouting, development, procurement, and in-game strategy. Collaborate with front-office staff, coaches, scouts, and Baseball Systems teams to communicate findings and integrate data into operational processes. Provide technical guidance to junior researchers while exploring innovative data sources, technologies, and research methods.

Conduct quantitative baseball research, design and test predictive models, and develop data-driven tools supporting scouting, player development, evaluation, projections, and strategy. Collaborate with Baseball Research and Systems teams to integrate information into Baseball Operations processes, communicate findings to nontechnical stakeholders, and improve data-informed decision-making.

Develop and characterize neuronal models for ultrasound-based molecular actuation. Responsibilities include maintaining primary, stem cell-derived, and brain slice cultures; performing transfections and viral transductions; conducting microscopy and cell-based assays; troubleshooting experiments; developing protocols; documenting results; and collaborating with molecular biology, neuroscience, engineering, and in vivo research teams.

Build, update, and review three-statement financial models for publicly traded companies. Develop sector expertise, improve modeling standards and dashboards, document best practices, conduct company research, support client service, contribute to product improvements, and train new team members. The role requires strong financial modeling, Excel, research, accounting, deadline management, and communication skills.

Administers and scores standardized cognitive and neuropsychological assessments for adult patients with systemic lupus erythematosus in a clinical research study. Maintains testing protocols, research records, databases, inventories, and confidential data. Collaborates with rheumatology, psychology, neurology, and research teams, while contributing to study meetings, publications, and presentations.

Conduct corporate governance and financial disclosure research for Canadian public companies during the 2027 proxy season. Prepare proxy research reports and voting recommendations, review shareholder and corporate documents, track voting results, monitor regulatory and company developments, and support report reviews. The role requires strong analytical, communication, research, and technology skills, with the ability to deliver accurate work under tight deadlines in a fully onsite Toronto setting.

Develops rigid plastic products from concept through commercialization, creating CAD models, production drawings, prototypes, and tooling designs. Performs mechanical and fluid-dynamic calculations, analyzes FEA, CFD, and mold-flow results, validates designs through testing, and optimizes performance, manufacturability, quality, and cost. Collaborates with project leaders, vendors, product management, and operations while supporting design reviews, engineering changes, compliance, and continuous improvement initiatives.

Conduct a research project in 3D reconstruction, neural rendering, diffusion-based spatial modeling, or world models. Implement and evaluate research techniques, work with captured multi-sensor data, build experiment and evaluation tooling, and clearly present and document findings. Candidates must be enrolled in a relevant degree program, have peer-reviewed publications and strong research experience, and be proficient in Python and deep learning frameworks.

Lead end-to-end pilot audits of frontier AI safety and security claims, including scoping, evidence review, interviews, analysis, risk management, stakeholder coordination, and report drafting. Refine audit methodologies and internal processes with the Standards Director while managing confidential information and contracted specialists. The role is fully remote, with travel at least twice per quarter.

Own the full lifecycle of novel subsurface imaging hardware, including mechanical and electrical system design, prototyping, validation, manufacturing, and remote deployment. Integrate instrumentation and data streams with exploration systems, support field commissioning, manage vendors and contractors, and contribute to hardware architecture, product planning, and development processes. Collaborate with data scientists, engineers, and geoscientists to create reliable datasets for mineral exploration and machine learning applications.

Conduct biochemical and cell-based experiments to understand and engineer protein complex assembly for neural activity readouts. Responsibilities include protein expression and purification, complex reconstitution, mammalian cell assays, variant characterization, experimental analysis, documentation, and inventory management. The role also supports assay development, molecular biology, high-throughput screening, and collaborative hypothesis generation.

Conduct research to advance agentic systems by developing methods for planning, reasoning, and reinforcement learning with LLMs and multi-agent systems; build experiments and datasets to improve LLM performance in complex workflows; stay current with academic advances.

Conduct advanced predictive modeling and actuarial research using structured and unstructured insurance, telematics, geospatial, and climate data. Advise pricing, underwriting, actuarial, and innovation partners; develop and improve analytical processes; evaluate emerging analytics methods; communicate results to management; and support strategic projects and decision-making committees.

Oversee clinical research operations for early cancer detection and oncology studies, including patient referrals, screening, consent, specimen collection, follow-up, data quality, REDCap/EDC workflows, laboratory coordination, vendor relationships, regulatory compliance, audit readiness, and process improvement. Lead and mentor research trainees, develop SOPs and training materials, coordinate multidisciplinary stakeholders, and support strategic clinical research initiatives.

Supports and enhances quantitative investment systems, systematic trading, portfolio operations, risk analysis, P&L attribution, model deployment, and portfolio analytics. Partners with quantitative researchers, traders, and technology teams to improve trading platforms, operational processes, software quality, and execution methodologies. Requires strong programming skills, financial markets knowledge, and the ability to independently resolve complex trading and operational issues.

Lead and manage a research team developing agentic AI, focusing on reinforcement learning, transformer‑based generative models (LLMs, diffusion), and multi‑agent systems. Define research strategy, keep pace with state of the art, and build external academic and community relationships to position Skyfall as an AI leader.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Leads AI research teams and guides advanced research initiatives from experimentation through production adoption. Evaluates emerging AI methods, oversees rigorous benchmarking and validation, builds academic and internal partnerships, and collaborates with engineering, product, and business teams. The role balances exploratory research with enterprise delivery while advancing responsible, secure, reliable, and scalable AI capabilities. It also influences AI strategy, technical investment decisions, and organizational standards for research excellence.

Develop and improve novel mass spectrometry applications, evaluate research opportunities, and mature innovations into commercial technologies. The role applies advanced expertise in instrument control, AI, and software development, collaborates cross-functionally, supports customer and marketing initiatives, evaluates business opportunities, and represents the company at conferences. Candidates need an advanced science degree, over 10 years of mass spectrometry experience, a strong publication record, and demonstrated research innovation.

Manage quantitative and mixed-methodology shopper research projects from brief through final delivery. Serve as primary client contact, design samples and questionnaires, oversee fieldwork and suppliers, monitor budgets and timelines, analyze data, and present actionable insights. Delegate and review project tasks, moderate qualitative research, develop client relationships, mentor team members, and explore AI and automation opportunities to improve research delivery.

Designs and conducts experiments on OLED devices and advanced materials, operates and maintains R&D equipment, analyzes and presents experimental data, collaborates with software and facility engineers, troubleshoots equipment, documents results, and supports safe laboratory operations.