Top Research Jobs in Toronto

Provide front-desk and laboratory administrative support for a research lab: manage purchasing, expense reconciliation, budget tracking, onboarding, calendar/meeting/email management, research ethics documentation, grant/manuscript administrative tasks, and general lab records and operations.

Provide market, demographic, and economic research for multi-residential rental investments. Analyze rental trends and competitors, prepare reports, develop revenue assumptions for underwriting, and support acquisition and development decisions.

Design, train, evaluate, and optimize agent-native LLMs and RAG pipelines for enterprise use. Build training and RL pipelines (RLHF/DPO/PPO), embedding-based memory, evaluation harnesses, observability, and inference optimization across cloud and on-prem environments.

S32 seeks Applied AI Research Scientists to explore new approaches, algorithms, and methodologies to advance AI systems across portfolio companies. Candidates will drive research, shape company direction, and collaborate with founders to apply research outcomes to product and business needs.

Seeking Applied AI Research Scientists to develop and explore new AI approaches, algorithms, and methodologies to drive AI systems across S32 portfolio companies and shape company direction.

Lead design and execution of a 3–5 year fundraising strategy; personally cultivate and close five- and six-figure major gifts; manage donor CRM, reporting, dashboards, and fundraising collateral; partner with CEO and Board for donor engagement; align projects to donor goals; mentor a small fundraising team; track performance against KPIs; travel for donor meetings and events.

As a Research Intern, you will prototype and productionize research in AI and cryptographic schemes, collaborating with teams for real-world impact.

Support and maintain GxP-compliant quality systems: plan and conduct internal audits, manage CAPAs and deviations, review NCs and quality indicators, support vendor qualification and RFIs, assist with inspection readiness and client audits, create training and quality documentation, and perform IP release with GMP background.

As a Research Intern at N1, contribute to market/product or technical research in blockchain, developing analytical skills.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

The Senior Research Consultant will advise clients on market research, design studies, interpret results, and integrate AI into research processes.

Lead research and design of large-scale Biological Foundation Models (BioFMs) using genomic and single-cell data. Develop novel architectures and pretraining paradigms, implement and train models at scale, collaborate with biologists and drug developers, mentor junior researchers, and publish findings in top-tier venues.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Lead a three-month evidence review and synthesis on livelihoods interventions and provider organizations. Define impact metrics and an evidence-levels framework, review studies for ~20 organizations, synthesize what works and why, incorporate findings into a cost-effectiveness model, and help draft a decision memo recommending whether to launch a new fund. Work closely with Prevail's research team and contribute independent, judgment-driven analysis.

Manage multiple healthcare/pharmaceutical market research projects across the project lifecycle. Responsibilities include quality control for scripting, managing fieldwork, note-taking, creating data table/analysis plans, overseeing data table setup and coding, performing basic statistical analyses, and developing final reports. Work fully remotely and collaborate with stakeholders while maintaining high quality and deadlines.

Designs and leads the evaluation framework for a youth reintegration program: develops data collection tools, trains staff, ensures trauma-informed data practices, analyzes quantitative and qualitative outcomes, tracks KPIs, prepares funder and stakeholder reports, and advises program improvements.

Conduct exhaustive literature and regulatory reviews, analyze quantitative and qualitative human factors data, design and administer surveys, support flight-simulator data collection, perform technical writing and editing, and compile findings into structured technical reports.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Work directly with physicists to drive adoption of an AI research platform: own user lifecycle from discovery to retention, design onboarding and scalable workflows, build guides and tooling, identify UX friction, and act as a technical point of contact while partnering with research and engineering.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

The Senior CRA ensures quality site management and monitoring of clinical trials, addressing protocol-related issues while maintaining compliance and investigator relations.

Execute and troubleshoot mammalian cell culture and molecular biology workflows (cloning, nucleic acid prep, RNA assays). Produce and deploy viral vectors (lentiviral, AAV), perform CRISPR genome editing and perturbation screens, develop cell-based assays and phenotypic readouts, support mouse studies and tissue processing, maintain ELN documentation and SOPs, and generate high-quality data for target identification and therapeutic validation.

Design and implement scalable AI agent pipelines and runtimes, build automated code-generation and self-debugging loops, create advanced agent memory systems, develop automated evaluation frameworks for agent accuracy and latency, and translate cutting-edge agent research into production-grade software libraries.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.

Implement and scale ML experiments and training pipelines, collaborate with researchers to turn ideas into production-ready systems, run ablations and evaluations, debug models, and optimize model training and evaluation infrastructure for NLP and deep learning research.