Top Research Jobs in Vancouver

Supports clinical research on opportunistic salpingectomy for ovarian cancer prevention. Responsibilities include identifying and screening participants, obtaining informed consent, collecting and entering clinical and intraoperative data, attending operating-room procedures, maintaining study records, conducting data quality checks, and ensuring compliance with research ethics, confidentiality, Good Clinical Practice, and institutional policies. The role collaborates with physicians, nurses, operating-room personnel, investigators, and participants.

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.

Leads the design, automation, deployment, and operation of a secure medical imaging pipeline for CT data across Canadian research sites. Responsibilities include Python and DICOM development, PACS integration, de-identification, XNAT administration, Linux server and GPU environment management, privacy compliance, ethics submissions, stakeholder coordination, technical reporting, procurement, and milestone delivery. The role independently manages complex multi-institutional implementation and may supervise junior staff.

Assists with neurostimulation and neurophysiology research studies, including participant preparation, data collection, rating-scale scoring, study-material preparation, literature reviews, collaboration with research centers, and general office support. The role involves working with psychiatric populations, vulnerable participants, and confidential research data under direct supervision.

Supports harm reduction and substance use research by preparing exposure and health outcomes data for epidemiologic analyses, conducting literature reviews, assisting with scientific manuscripts and knowledge translation materials, attending project meetings, coordinating with partners, and tracking timelines. The role identifies issues, suggests solutions, troubleshoots deadlines, and may contribute to other studies. It requires strong organization, attention to detail, independent judgment, collaboration, and confidentiality.

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.

Coordinates a prospective RSV cohort study involving participant recruitment, informed consent, scheduling, biospecimen collection, data entry, questionnaires, and sample tracking. Maintains REDCap databases, participant files, confidentiality, and regulatory compliance. Supports immunology experiments including viral neutralization assays, flow cytometry, cell culture, and molecular biology. Prepares reports, contributes to presentations and publications, troubleshoots study issues, supports data analysis, and may train or oversee junior staff.

Supports clinical research projects through study data entry, quality control, participant screening and communications, document preparation, equipment tracking, supply management, and research ethics documentation. Works under general supervision while independently completing routine tasks accurately and in compliance with study protocols, privacy regulations, and ethical standards. The position is part-time, with on-site and remote work, and does not supervise others.

Coordinates research programs, partnerships, grants, funding activities, reporting, communications, and operational initiatives. The role researches and analyzes program information, supports grant applications, monitors budgets and compliance, coordinates stakeholders, prepares reports and presentations, identifies risks, and improves workflows and procedures across a complex multi-partner life sciences research environment.

Leads multiple complex strategic initiatives advancing the Faculty of Medicine’s research enterprise. Responsibilities include strategic planning, environmental analysis, business cases, governance design, project risk and change management, partner engagement, resource planning, evaluation, reporting, and implementation. The role independently guides cross-functional teams, advises senior leadership, coordinates internal and external stakeholders, and integrates completed initiatives into sustainable research programs, infrastructure, services, and governance structures.

Conduct quantitative and qualitative market research to support Sales, Strategy, and Account Services. Develop research plans, surveys, market intelligence, and competitive insights; analyze datasets; and translate findings into compelling pitch and Strategic Business Review materials. Manage stakeholder relationships, prioritize research requests, and deliver timely, rigorous insights that improve sales win rates and client retention.

Conducts in-depth legal and business research for attorneys and administrative teams, synthesizes findings, advises on research strategies, manages research projects, and evaluates information resources. Develops training curricula, delivers onboarding, monitors legal-industry developments and emerging AI research technologies, maintains newsletters and intranet content, and recommends resource purchases. Requires expert knowledge of legal and business research platforms, strong communication skills, and the ability to manage competing priorities independently and collaboratively.

Conduct telephone market research surveys with respondents in the United States and Canada, recruit panel members, record responses accurately, and assist with portal access and technical inquiries. The role requires professional customer service, efficient task management, collaboration with research teams, bilingual English and Spanish communication, and a flexible schedule including weekend shifts. This is a remote position requiring a private workspace, compatible Windows computer, reliable internet, and telephone equipment.

Open expression-of-interest opportunity for professionals with demonstrated impact in areas such as engineering, policy, cybersecurity, auditing, standards, or program management. Applicants should describe an achievement that influenced corporate practices, public policy, widely used software, or their broader field, and explain their interest in working with AVERI. Formal credentials are less important than verifiable impact.

Lead cybersecurity risk strategy for frontier AI auditing. Design secure audit systems and privacy-enhancing technologies, evaluate AI-related cybersecurity risks, develop code and data tools, and strengthen internal IT infrastructure. Responsibilities include access controls, data protection, device management, incident response readiness, and communicating threat models, cryptography, and risk to technical and non-technical stakeholders.

Provides strategic and hands-on biostatistical leadership across pharmaceutical discovery, translational, biomarker, and early research programs. Designs studies, analyzes complex biological datasets, develops advanced statistical methods and reproducible R workflows, and translates evidence into portfolio decisions. The role collaborates with quantitative and scientific functions, supports publications and external partnerships, mentors statisticians, and advances data-driven analytical practices.

The Research Manager leads day-to-day research operations across multiple AI, psychiatry, and supportive cancer-care studies. Responsibilities include designing and implementing studies, preparing manuscripts and grants, managing ethics and data governance, overseeing recruitment, supervising research staff and trainees, managing project plans and collaborators, coordinating patient-partner engagement, and leading knowledge translation. The role requires independent judgment under the Principal Investigator’s general direction.

Lead the Agentic AI Lab’s full-cycle research agenda, including model and training design, data, evaluation, benchmarking, deployment, and publication. Train specialized enterprise models, define rigorous evaluation gates, move research from public benchmarks to customer shadow deployments, and build a small multidisciplinary team. The role partners closely with founders and platform engineers while establishing research direction, documenting technical decisions, and mentoring engineers into researchers.

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.

Conduct research for an AI-for-science benchmark by validating AI-generated paper reproductions, simulations, and results; mapping research areas; defining evaluation standards; creating benchmark tasks; and contributing to a publicly released paper and evaluation set as a lead or first author.

Conduct applied research on foundation models for real-time fraud detection using large-scale behavioral and sequential data. Design experiments, benchmarks, holdouts, and monitoring systems; develop models from data preparation through deployment; and optimize training and inference efficiency. Collaborate with engineering, client-facing teams, legal, compliance, and customers to productionize models and establish explainability, governance, and risk documentation.

Conducts qualitative research by designing studies, coding interview and focus group transcripts, verifying transcript accuracy, analyzing themes, and integrating qualitative findings with quantitative data. Maintains coding pipelines, refines codebooks, documents inter-rater reliability, prepares client-ready reports and visualizations, develops case study materials, and supports de-identified dataset construction. The role also contributes to proposals, client engagement, methodological strategy, and research deliverables.

Explore large-scale AI evaluation datasets, identify patterns, biases, and causal relationships, and design experiments to understand model behavior. Build reproducible analysis pipelines with Python, Pandas, NumPy, and Spark; develop statistical and causal inference frameworks; partner with ML researchers and engineers; and communicate findings to technical and non-technical stakeholders.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

Coordinates clinical research site selection and feasibility activities, including identifying investigators, evaluating questionnaires, recommending sites, coordinating qualification visits, and tracking activities in a CTMS. Builds relationships with clinical research sites, supports site quality assessments, collaborates with sponsors and project teams, and contributes to departmental initiatives. Requires at least three years of clinical research experience, knowledge of good clinical practices and Health Canada and FDA guidelines, and strong English communication skills; French and dermatology experience are assets.