Top Research Jobs in Ottawa

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.

Execute and troubleshoot mammalian cell culture and molecular biology workflows (cloning, nucleic acid prep, RNA assays). Produce and deploy viral vectors (lentiviral, AAV), perform CRISPR genome editing and perturbation screens, develop cell-based assays and phenotypic readouts, support mouse studies and tissue processing, maintain ELN documentation and SOPs, and generate high-quality data for target identification and therapeutic validation.

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.

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

Lead the design and development of software for quantum machine learning methods. Collaborate with researchers and communicate findings. Oversee best practices in machine learning systems and influence product offerings.

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.

Oversee and monitor clinical trial sites to ensure GCP and protocol compliance, conduct site visits, resolve issues, ensure data integrity, train site staff and CRAs, collaborate with cross-functional teams, and maintain stakeholder relationships to support trial execution.

Leads accounting and finance operations across US and Canadian entities, overseeing reporting, treasury, audits, tax compliance, internal controls, finance systems, acquisitions, refinancing, and financial integration. The VP develops the finance team, drives process automation and technology adoption, prepares executive and board reporting, and advises leadership and private equity stakeholders on financial strategy and organizational growth.

Manage end-to-end delivery of digital content products, primarily curriculum, across writers, designers, engineers, marketers, and subject matter experts. Responsibilities include project scheduling, Agile ceremonies, PI planning, CMS administration, content publishing, QA, cross-platform distribution, stakeholder communication, budget tracking, risk and dependency management, and post-launch optimization. The role ensures content is accurate, accessible, on time, and aligned with organizational goals.

Edit long- and short-form video content for YouTube and social platforms, adding motion graphics, captions, lower thirds, audio adjustments, color grading, and transitions. Organize assets and versions, collaborate with producers and designers, incorporate feedback, meet platform specifications, and deliver files in required formats and aspect ratios. The role also requires creative storytelling, quality assurance, deadline management, and submission of a video reel and editing sample.

Leads end-to-end delivery across nine concurrent media production workstreams, managing schedules, task tracking, vendors, budgets, reporting, risks, dependencies, and cross-functional handoffs. The role coordinates creative, technical, marketing, scholarly, and external production teams while maintaining production workflows and documentation. It also builds the studio’s reusable production playbook, improves operational processes, and supports timely launches across weekly programming, limited series, and short-form content.

Design and implement portfolio-construction and trade-execution models, focusing on optimization, risk modeling, tax-aware execution, and backtesting. Translate research into production-quality systems, collaborate with investment and engineering teams, validate strategies against historical data, and maintain robust, scalable services for managing client portfolios.

The Software Developer will design optimization software, develop features, analyze algorithms, and collaborate with R&D teams to enhance product quality.

The successful candidate will conduct research in experimental cellular and systems biophysics, focusing on neural and cardiac cells and their interconnections, and drive innovative collaborations for health advancements.

Join a security research team to develop analysis tools, review sandbox/VM and network modules, discover vulnerabilities and create PoC exploits for distributed systems, and publish findings. Research areas include malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detection.