Top Research Jobs in Vancouver

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.

The Director of Innovation Management leads a team to drive innovative solutions for mountain athletes, managing a long-term innovation portfolio and overseeing product commercialization from concept to market.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

The Director of Research for Power Markets will oversee the QA/QC process for long-term price forecasts and act as an advisor to leadership, ensuring rigorous review and internal expertise engagement throughout the forecasting cycle.

Serve as primary contact between investigational sites and sponsor; perform site selection, initiation, routine monitoring, and close-out; ensure ICH‑GCP and Health Canada compliance; maintain CTMS/eTMF documentation; monitor safety reporting (AE/SAE/PQC); support recruitment, drug accountability, data query resolution, site budgets/payments, and escalate risks to the clinical team.

Lead and execute molecular, cellular, and immunological research on ocular diseases using human samples, stem-cell and animal models. Design experiments, analyze data, develop/optimize assays and SOPs, prepare manuscripts and grants, manage lab computational resources, and supervise/train trainees and laboratory personnel while ensuring regulatory and compliance standards.

The Mid-Level Research Program Manager will lead and manage research and technology transfer activities, build collaborative relationships, prioritize projects for funding and ensure successful program implementation.

The AI Enablement Specialist will lead AI integration into commercial real estate research, focusing on data strategies and process improvements through workshops and collaboration with teams.

Support and coordinate clinical research studies: recruit and manage participants, follow protocols and SOPs, collect and manage data, assist ethics submissions, prepare study materials, supervise junior trainees, maintain inventory, and complete mandatory research and ethics training.

Lead advanced AI research projects focused on computer graphics and rendering techniques, mentoring junior engineers and translating ideas into research prototypes.

Lead quantitative research projects end-to-end, design proposals, analyze large datasets, prepare reports and presentations, advise clients strategically, mentor junior staff, support business development, and manage account-level client relationships.

Lead end-to-end win/loss/churn research programs: onboard customers, conduct high-signal interviews, analyze findings, and deliver actionable reports. Train and tune AI interviewers, improve workflows, partner with customers and CSMs to drive renewal and expansion, and scale research through AI while preserving human-led high-trust conversations.

Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.

Lead end-to-end consumer research projects: design methodology and questionnaires, analyze complex datasets, validate data, synthesize insights, write and present client reports, manage timelines and stakeholder communications.

Assist faculty with NSF- and Bureau-funded studies on greenhouse gas emissions and nutrient cycling. Collect and process water and gas samples, maintain and calibrate field equipment, perform lab sample preparation and data recording, and support research coordination and field campaigns via small boat and on-foot sampling.

Conduct literature reviews and present findings; prototype, develop, and troubleshoot machine learning algorithms for histopathology/medical imaging; maintain AI code repositories and documentation; assist with funding applications and manuscript preparation; oversee project progress and mentor junior staff; present results in meetings and collaborate with internal and external partners.

Lead research on AI-driven systems and networking: develop algorithms and methodologies to improve performance, efficiency, and scalability; collaborate with engineering and product teams; publish and present findings; mentor researchers; and partner with industry and academia to drive system innovation and deployment.

Conduct market and competitive intelligence research for quantum computing products; track competitors, patents, publications, financial signals, and industry trends. Use AI-enabled tools and dashboards (Tableau/Power BI/Python) to gather, analyze, and visualize data. Produce reports and presentations to inform product strategy and support cross-functional teams.

Work on designing, implementing, and improving state-of-the-art reinforcement and imitation learning algorithms for dexterous robotic manipulation. Develop RL/IL training and data-collection pipelines, integrate ML models onto robotics platforms, evaluate sim-to-real transfer, and collaborate across teams to deploy algorithms on physical humanoid robots.

Lead development of cutting-edge RL and imitation-learning algorithms for dexterous robotic manipulation, design training and large-batch simulation pipelines, enable sim-to-real transfer, integrate models onto physical robots, and drive research from experimentation to production while mentoring and collaborating across teams.

Lead research in cloud and AI infrastructure and chip design: analyze emerging hardware technologies, design and optimize hardware architectures, run simulations and validations, build prototypes and proofs-of-concept, collaborate with software teams and manufacturers, and document research findings to enable deployable systems.

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.

The Research Assistant will perform bioanalytical assays, process data, maintain lab equipment, and prepare study reports while adhering to safety protocols.

The Research Scientist will plan and execute DMPK assays, perform data analysis, develop methods, and coordinate with study teams, supporting drug discovery and regulatory projects.

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.