Top Research Jobs in Ottawa

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.

Develop and optimize molecular and cell biology assays for high-throughput screening. Translate validated assays into automated workflows, operate and troubleshoot laboratory instruments, prepare samples and cell cultures, perform initial data quality control, maintain records and inventory, and train users on standardized procedures.

Owns an end-to-end qualitative research study for Yaqeen’s ebook library, including research planning, participant recruitment, interviews, synthesis, reporting, and stakeholder presentations. The role will compare findings with prior research, generate prioritized product, editorial, and marketing recommendations, measure user impact, and establish reusable research practices. It also requires careful handling of participant data and sensitivity when researching faith, doubt, and personal practice.

Develop and validate machine learning models, training pipelines, inference systems, and numerical methods using Python. Debug algorithmic and system-level issues, optimize memory usage and performance, design systematic tests, and build reproducible workflows. Review challenging ML engineering tasks, use coding agents in development, document technical findings, and deliver high-quality work independently within deadlines.

Conduct in-depth research on Islamic studies, history, social sciences, and current events for video and audio productions. Gather and synthesize credible sources, fact-check scripts, document citations, identify compelling narratives, prepare research briefs, and organize source repositories. The role supports producers, writers, and hosts while maintaining rigorous academic accuracy and clear communication.

Provides technical leadership for AI-enabled solutions within a financial services transformation program. Designs cloud, machine learning, LLM, conversational AI, and Sigma analytics architectures; develops models and production-ready solutions; establishes MLOps, CI/CD, security, and responsible AI standards; leads proofs of concept through deployment; owns solution lifecycles; and mentors developers while collaborating with technical and business stakeholders.

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 careful web and document research to develop training and benchmarking tasks for frontier AI models. Responsibilities include retrieving and verifying claims, cross-referencing academic and financial sources, tracking original sources, using research-enabled LLM tools, rapidly learning new domains, and clearly communicating reasoning, uncertainty, and findings in written and verbal formats. This is a fully remote, one-month contract requiring at least 15 hours weekly, with an expected average of 20 hours per week.

Produces and promotes digital-first content across YouTube, social media, podcast platforms, and other channels. Responsibilities include creating short-form assets, managing publishing workflows, optimizing metadata and thumbnails, monitoring analytics, conducting A/B tests, coordinating editors, identifying audience opportunities, and translating performance insights into content and format recommendations.

Lead research for a new quantum technology market initiative. Develop expertise in qubit hardware, fabrication, experimental setups, control flows, and measurement protocols. Validate approaches through experimentation, modeling, and device work; identify scaling bottlenecks; translate findings into product requirements and architectures; and collaborate with product, architecture, engineering, customers, partners, and the research community.

Own the production deployment of neural and generative models for Waabi’s multi-sensor simulator. Responsibilities include optimizing models with compilation, quantization, mixed precision, CUDA, and custom kernels; building numerical parity benchmarks; developing model export, versioning, registry, and build tooling; collaborating with research teams; and managing GPU workloads in cloud environments.

Develop and scale human iPSC-derived neuronal and rodent primary cell models for neurotechnology screening. Responsibilities include expanding and QCing iPSC lines, producing neuronal banks, maintaining long-term cultures, developing biochemical, imaging, and activity assays, troubleshooting and optimizing high-throughput workflows, documenting deviations, and maintaining audit-ready records. The role requires close cross-functional collaboration, precise experimental execution, and intermittent weekend laboratory work.

Lead the technical direction and hands-on development of ML and operations research systems powering delivery dispatch. Build pricing, quote selection, forecasting, routing, batching, fleet recommendation, LLM, optimization, evaluation, and MLOps capabilities. Translate operational constraints into reliable models and solver formulations, establish production ML standards, and mentor engineers. The role partners with Product and leadership to deliver measurable improvements in revenue, margin, utilization, conversion, and delivery reliability.

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

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.

Conducts clinical trial site qualification, initiation, monitoring, and termination visits. Maintains site relationships, resolves issues, supports patient recruitment, protects participant safety, and ensures compliance with protocols, SOPs, GCP, and regulations. Reviews data quality, drug accountability, site performance, and regulatory documentation while generating visit reports and verifying study records. Requires at least 18 months of direct onsite CRA monitoring experience and fluency in English and French.

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.

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.

Leads immunology clinical research from target prioritization and preclinical translation through first-in-disease programs. Partners with discovery, translational medicine, clinical development, and business development teams to evaluate assets, shape clinical strategies, design early-phase studies, define biomarkers and patient populations, and support go/no-go decisions. Serves as a hands-on clinical subject matter expert in autoimmune and inflammatory diseases, representing the organization with scientific leaders, investigators, regulators, and internal stakeholders.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.

Develop signal processing algorithms for camera, LiDAR, radar, and other autonomous-driving sensor data. Design acquisition, fusion, filtering, and learning-based methods; optimize them for CPU, GPU, DSP, and specialized accelerators; and collaborate with autonomy and hardware teams to deliver reliable, low-latency production systems. The role also supports experimental validation and potential research publications.