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.

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.

Conduct clinical trial site qualification, initiation, monitoring, and close-out visits. Ensure protocol compliance, data integrity, and patient safety; collaborate with investigators and site staff; review and resolve data queries; and contribute to study documentation, protocols, and clinical study reports. The role requires approximately 60% travel and independent work in a sponsor-dedicated clinical research environment.

Conduct clinical trial site qualification, initiation, monitoring, and close-out visits. Ensure protocol compliance, data integrity, and patient safety; collaborate with investigators and site staff; resolve data queries; and support preparation and review of study documentation, protocols, and clinical study reports. The role requires at least two years of CRA experience, scientific or healthcare education, ICH-GCP knowledge, strong communication and organization skills, and approximately 60% travel.

Leads manager research and oversight for NEI Investments and the Managed Asset Program, including manager selection, due diligence, sub-advisor oversight, performance evaluation, and investment recommendations across public, private, and alternative markets. Directs a research team, develops analytical capabilities, oversees external manager relationships, improves research frameworks, and provides investment insights to senior leaders, clients, and sales teams.

Supports a randomized controlled women’s health research study by communicating with participants, distributing questionnaires and consent forms, coordinating compensation details, cleaning and preparing data, adapting manuscripts, contributing to dyadic study research, and monitoring grant timelines and materials. Works independently under supervision in a hybrid environment and collaborates with the sexual health research team.

Assists the Sea Around Us Principal Investigator with fisheries dataset analyses, research programming, interpretation of results, publication and conference materials, and presentations. The role also coordinates workflows, supports daily unit operations, and may oversee students and volunteers. It requires independent judgment, research communication, organizational skills, and collaboration within a marine fisheries research program.

Conducts clinical research fieldwork, participant recruitment and enrollment, informed consent, medical history collection, vaccine study support, database development, data quality control, logical data checks, documentation, and study preparation. Provides technical guidance and training to research assistants while working independently under study protocols, SOPs, and Good Clinical Practice guidelines.

Leads translational and non-interventional biomarker studies in immunology, including protocol development, target validation, mechanism-of-action research, data analysis, and quality assurance. Provides scientific and strategic leadership across preclinical and clinical development, collaborates with internal and external research partners, supports regulatory and clinical documentation, and supervises research scientists. The role bridges preclinical research and early clinical development to inform therapeutic-area strategies and development decisions.

Coordinates phase I–III clinical trials, registries, and related hematology research from study startup through closure. Responsibilities include regulatory and ethics submissions, study documentation, participant screening, consent and recruitment, protocol assessments, safety monitoring, workflow development, cross-department coordination, reporting, and compliance with ICH/GCP, institutional SOPs, and applicable regulations.

Conducts remote and onsite clinical trial monitoring visits, including qualification, initiation, interim, and close-out visits. Ensures protocol, ICH GCP, FDA, regulatory, and sponsor SOP compliance; reviews source documents, CRF data, regulatory binders, and trial documentation. Manages site issues, adverse event reporting, investigational product accountability, recruitment oversight, audit preparation, and monitoring reports. Collaborates with sponsors, sites, CRAs, project managers, data management, and cross-functional teams while mentoring CRAs and supporting CTMS activities.

Conducts remote and onsite clinical trial monitoring visits, including site qualification, initiation, interim, and close-out visits. Ensures protocol, ICH GCP, FDA, and SOP compliance; verifies source data, manages regulatory documentation, tracks investigational products, supports adverse-event reporting, and resolves site issues. The role also assists with monitoring plans, budgets, training, audits, sponsor communication, CTMS activities, CRA mentoring, and cross-functional coordination.

Design and ship full-stack systems that integrate LLM-driven agents into Unreal Engine. Build engine-side C++ and Python tooling, cloud-hosted agent services, databases, and web interfaces. Evaluate LLM capabilities such as tool use, multi-agent orchestration, and context management while defining reliability, safety, and evaluation practices. Collaborate with engine, tools, and backend programmers and mentor others on game engine and LLM system design.

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.

Implements established machine learning, artificial intelligence, and statistical methods for large-scale neuroimaging research. Performs data preparation, quality control, feature extraction, multimodal data integration, workflow maintenance, troubleshooting, and computational support on local and high-performance systems. Modifies scripts, documents analytical procedures and outputs, and escalates complex issues. The role primarily supports the CentileBrain precision neuroscience project and may assign tasks to students.

The Applied Scientist will develop next-gen AI systems for autonomous driving, focusing on machine learning, simulation, and robotics, advancing embodied AI technologies.

Lead the design and deployment of large-scale bioinformatics and omics pipelines spanning genomics, transcriptomics, and proteomics. Integrate multimodal biological data with machine learning, develop reproducible analysis frameworks, benchmark predictive models, and collaborate with wet-lab scientists to guide molecular engineering and experimental campaigns. Contribute novel computational biology algorithms, research roadmaps, and scientific leadership.

Conduct executive, industry, market, and company research to support leadership searches. Identify qualified executives, analyze competitive landscapes using LLMs, design AI prompts, develop research strategies and reports, maintain candidate and company database quality, and provide strategic insights across industries. The role requires managing multiple projects, synthesizing ambiguous information, collaborating with search professionals, and communicating findings clearly.

Build and manage relationships with investment banks, equity research analysts, institutional investors, and other capital markets participants. Develop analyst engagement programs, track sector research, provide market intelligence, and position Higgsfield as a trusted source on Creative AI. Partner with leadership, communications, and finance to develop market frameworks, investment theses, and executive narratives that generate measurable research and investor outcomes.

Provides technical and operational support for research greenhouses and field facilities. Responsibilities include greenhouse space scheduling, user support and training, horticultural tasks, nutrient and pest-management coordination, equipment safety, facility maintenance, SOP development, supply ordering, invoicing, tours, and emergency response. The role also guides students, supports field operations, coordinates repairs and service providers, and helps researchers establish and maintain projects.

Conduct competitive, market, and regulatory research across public and internal sources. Triangulate signals, assess source reliability, and synthesize findings into executive briefs, dashboards, and recommendations. Partner with sales, product, strategy, and leadership to support active decisions, while administering intelligence trackers, source libraries, and research platforms. The role requires strong analytical judgment, polished executive communication, self-direction, and familiarity with energy storage or clean-energy markets.

Directs research and development strategy, software product development, technology roadmaps, budgets, KPIs, and project delivery. Leads and mentors R&D staff, coordinates cross-functional teams, manages risks and dependencies, and reports to executive leadership. The role requires extensive software development, program management, people leadership, financial planning, and bilingual English-Korean communication. International travel to South Korea is required approximately once or twice annually.

Develops, validates, and supports R Shiny applications and reusable programming utilities for clinical trial review, data visualization, statistical reporting, quality control, and regulatory submissions. Uses R, SAS, and Python while collaborating with biostatisticians, statistical programmers, data management, clinical operations, and IT. Ensures solutions meet GxP, Computer Software Assurance, testing, scalability, performance, and company standards.

Designs benchmarks, reinforcement learning environments, evaluation methodologies, scoring frameworks, and reproducible evaluation architectures for frontier models. Builds and ships production code, maintains data pipelines, analyzes results, and collaborates with research scientists, solutions architects, and ML engineers. The role combines independent research methodology with hands-on engineering across agentic systems, model evaluation, and RL infrastructure.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.