Top Research Jobs in Calgary

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.

Manages clinical trial investigator sites from activation through close-out, ensuring patient safety, GCP compliance, protocol adherence, data quality, and timely study execution. Responsibilities include onsite and remote monitoring, site relationship management, investigator and staff training, recruitment support, adverse event follow-up, investigational product oversight, issue resolution, CAPA remediation, documentation, audit support, and database release activities. Requires extensive clinical research monitoring experience and frequent travel.

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.

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 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.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and end-to-end experiments. Select and adapt open-weight models, design robust rewards, deploy models to production, and improve behavior using real-world usage. The role requires strong Python engineering, experience taking models from raw data to production, GPU familiarity, and collaborative remote work.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Leads Tiny Health’s clinical research strategy, infrastructure, and study execution for microbiome-based testing and health insights. Designs observational, interventional, and real-world evidence studies; oversees protocols, statistical analysis plans, data collection, budgets, timelines, risk, and regulatory documentation. Partners with scientific, engineering, product, marketing, and external research teams to support rigorous analysis, regulatory strategy, product claims, publications, and scientific communications.

Manages clinical research projects from initiation through closeout, coordinating sponsors, vendors, sites, and internal teams. Oversees budgets, timelines, site activation, recruitment, regulatory submissions, essential documents, training, monitoring support, data review, risk management, and study deliverables. Ensures compliance with SOPs, GCP, ICH standards, and applicable FDA and Canadian regulations while supporting quality and inspection readiness.

Owns full-stack engineering, cloud infrastructure, reliability, cost governance, legacy-to-cloud migration, and AI-assisted development for a multi-tenant ERP platform. Leads engineering, QA, contractors, release governance, customer go-lives, vendor evaluation, and executive reporting. The role requires deep TypeScript/Node and React expertise, financial-system correctness, Azure or AWS architecture, ETL and data reconciliation, CI/CD, incident response, SaaS security, and pragmatic maintenance of Java/Spring and VB6 legacy systems.

Oversee portfolios of multinational clinical studies, including project managers, budgets, timelines, vendors, quality, regulatory compliance, risk mitigation, and client relationships. Lead operational proposal development, pricing, business development, performance improvement, and therapeutic-area strategy. Provide mentoring and leadership for project management teams while ensuring adherence to GCP, ICH guidelines, SOPs, and FDA and Health Canada requirements.

Bridge frontier multimodal research and product by shaping research priorities, interpreting evaluations, building prototypes, and defining research-to-product handoffs across Canvas, Agents, and the model platform to deliver enterprise-facing features.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Lead applied research on continual learning, fast adaptation, memory, and transfer learning for agentic systems. Own end-to-end pipeline from data generation to evaluation and product integration, run experiments, produce code, and drive research strategy while mentoring and managing a small team.

Lead applied research on spatial reasoning, geometric and physical world modeling. Own data generation, evaluation, and product integration. Implement experiments, build production code, and drive research strategy in 3D, multimodal, simulation, and related domains.

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.