Top Research Jobs in Vancouver

Leads skincare product research and innovation from opportunity identification through launch. Translates scientific, consumer, and market insights into differentiated product concepts, evaluates ingredients and efficacy data, assesses technical and regulatory feasibility, and coordinates product testing and validation. Develops claims strategies and substantiation dossiers while partnering with Marketing, Regulatory, Clinical, Legal, Procurement, Operations, and Medical teams. Represents R&D in governance reviews and supports scientific communications, training, and launch materials.

Lead generative UX and market research to identify emerging opportunities, assess markets, define ICPs and value propositions, and shape product and business strategy. Influence senior leaders, partner with analytics, product, design, marketing, sales, and client services, and translate insights into investment and go-to-market decisions. Coach researchers, improve UXR processes, and integrate AI into scalable research workflows.

Lead, coach, and grow a team of UX researchers supporting Stripe Payments and Risk products. Conduct and guide mixed-methods research, translate user insights into product strategy, establish research programs and infrastructure, and enable cross-functional teams to apply research practices. Partner with product, design, business, and executive leaders while guiding AI-driven improvements to research processes and sourcing external research vendors.

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

Develop experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

Manage full-cycle recruiting, including sourcing, screening, interviews, candidate communication, offers, background checks, and onboarding transitions. Partner with hiring managers to define recruitment needs and strategies, maintain applicant tracking systems, support employer branding and social media initiatives, produce recruiting analytics, and lead talent acquisition projects. The role requires bilingual French and English communication, HR knowledge, confidentiality, and familiarity with clinical practices and Health Canada and FDA guidelines.

Build and own ML infrastructure for distributed training, inference, experiment tracking, model registries, and CI/CD. Enable active-learning and closed-loop optimization, collaborate with computational scientists, and mentor colleagues to translate research prototypes to production-grade systems.

Leads portfolios of dermatology and rheumatology clinical studies, overseeing Project Managers, budgets, vendors, timelines, quality, regulatory compliance, risk mitigation, client relationships, and proposal development. The role manages multinational Phase III trials and provides therapeutic and operational leadership across study teams.

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.

Conducts remote and onsite clinical trial monitoring visits, including site qualification, initiation, interim, and close-out activities. Ensures protocol, ICH GCP, regulatory, and SOP compliance; verifies source data, manages investigational product accountability, reviews regulatory documentation, and supports adverse event reconciliation. The role addresses site issues, recruitment, training, audits, budgets, CTMS activities, and sponsor communication while mentoring CRAs and coordinating with cross-functional clinical teams.

Conducts remote and onsite clinical trial monitoring visits, ensuring protocol, ICH GCP, FDA, regulatory, and sponsor SOP compliance. Reviews source documents, CRF data, regulatory binders, and trial files; manages investigational product accountability, adverse event reconciliation, site issues, recruitment, and audit preparation. Supports monitoring plans, budgets, training, CTMS activities, sponsor communication, and CRA mentoring while coordinating with cross-functional clinical teams.

Conducts remote and onsite clinical trial monitoring visits, including qualification, initiation, interim, and close-out visits. Ensures protocol, ICH GCP, FDA, regulatory, and SOP compliance; verifies source data and investigational product accountability; reviews regulatory documents; manages site issues, adverse event reconciliation, recruitment, and audit preparation. Supports monitoring plans, budgets, training, CTMS maintenance, CRA mentoring, sponsor communication, and cross-functional issue resolution.

Conducts remote and onsite clinical trial monitoring visits, including site qualification, initiation, interim, and close-out visits. Ensures protocol, ICH GCP, FDA, regulatory, ethical, and SOP compliance; verifies source data, manages investigational product accountability, reviews regulatory documents, supports recruitment, resolves site issues and data queries, and prepares monitoring reports. The role also supports monitoring plans, audits, budgets, CTMS activities, CRA training, mentoring, and sponsor-site communication.

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.

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.

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.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Coordinates clinical trial site activation and maintenance across the study lifecycle. Responsibilities include reviewing essential and regulatory documents, managing activation timelines, communicating with sites and study teams, maintaining eTMF and study files, tracking enrollment and supplies, coordinating training and meetings, reconciling payments, preparing reports, and supporting audits, inspections, and CAPA activities. The role may also perform project management duties, mentor junior coordinators, and support process improvement.

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 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.

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.

Directs clinical research billing operations, including coverage analysis, study calendars, charge review, budgeting, sponsor invoicing, compliance audits, revenue-cycle activities, and financial reporting. Leads staff, develops policies and training, manages Epic and OnCore workflows, partners with research, finance, compliance, audit, and clinical teams, and drives process improvements, regulatory readiness, billing accuracy, and financial sustainability.

Lead a team of researchers to define and execute high-impact research programs bridging ML, scientific domains, and product. Shape hypotheses, experiments, models, data strategy, evaluations, and implementations while mentoring researchers and driving research into validated, reusable capabilities and deployed systems.