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.

The Senior Research Analyst manages research projects, analyzes complex data sets, communicates findings, and prepares reports while ensuring quality control throughout the project lifecycle.

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.

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.

The Lab & Research Assistant will perform immunoassays, prepare laboratory materials, maintain records, support lab operations, and collaborate with scientists.

Lead research on applying large foundation models to domain-specific problems, build and document research prototypes and tools, collaborate with cross-functional teams, publish and present findings, and drive innovation in artificial specialized intelligence.

Lead research on AI-driven systems and networking to develop novel methods and algorithms that improve performance, scalability, and efficiency. Collaborate with engineers and product teams to deploy solutions, publish and present findings, mentor researchers, and partner with academia and industry on joint research.

The Statistical Programmer develops, maintains, and validates datasets and reports for clinical trials, ensuring high-quality deliverables while adhering to industry standards and guidelines.

The Senior Manager will oversee legal, business, and competitive intelligence research, manage research teams, ensure quality outputs, and improve research workflows.

Own territory sales for the Cellular and Molecular Research portfolio, manage key customer relationships, and drive revenue for instruments and consumables. Develop and execute strategic account and territory plans, identify cross-product opportunities, collaborate with product specialists and field scientists, and use CRM to manage pipeline and forecasts.