Top Research Jobs in Seattle, WA

Manages the operational integration of diagnostic imaging and procedural research with clinical services. Responsibilities include developing pricing and costing models, coordinating governance, analyzing workflows and capacity, managing cross-functional relationships, implementing standardized processes, leading change adoption, and monitoring operational risks and performance. The role ensures research trials are financially sound, compliant, feasible, and minimally disruptive to patient care while aligning clinical and research priorities.

Lead end-to-end recruiting for AI researchers, architects, and senior leaders across Redmond and Palo Alto. Responsibilities include market mapping, talent sourcing, offer strategy, executive advising, structured evaluation, candidate closing, and building scalable recruiting processes for a new talent acquisition function. The role focuses on highly competitive AI and research hiring markets, including candidates considering top-tier labs and major technology companies.

Support B2B lead generation through secondary research to identify target companies and decision-makers, build and maintain a segmented prospect database, support outreach campaigns, ensure CRM discipline and data accuracy, and report findings while receiving mentoring.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Develops accessible, multimedia learning resources, instructional materials, performance-support tools, and AI-enhanced learning solutions for adult learners. Collaborates with subject matter experts and stakeholders, coordinates project activities, evaluates learning effectiveness, analyzes feedback and outcomes, and continuously improves digital learning products. The role uses instructional design principles, adult learning theory, accessibility standards, authoring tools, design software, video-production platforms, and emerging technologies.

Manages global clinical research projects from planning through completion, coordinating Regulatory, Clinical Operations, Biometrics, and Medical Affairs/Safety teams. Oversees project scope, budgets, resources, milestones, compliance, deliverables, and internal and external status reporting. Requires experience managing studies, project-level costing, global projects, and multiple therapeutic areas and protocols.

Leads analytics, data architecture, outcomes measurement, health economics and outcomes research, ROI modeling, governance, and client reporting. Manages a multidisciplinary data team and partners with Engineering, Product, executives, and payer stakeholders to translate clinical and financial evidence into actionable decisions. Oversees accurate, repeatable analyses and communicates findings through dashboards, white papers, presentations, and impact briefs.

Conduct prospect and donor research to support philanthropic fundraising, including wealth assessments, portfolio analysis, donor profiling, and pipeline development. Translate data into actionable recommendations, prepare research reports, collaborate with fundraising and cross-functional teams, and improve donor database and prospect management systems. Monitor philanthropy trends and maintain confidentiality when handling sensitive donor information.

Leads an independent quality and research-partnership function supporting crowd-based AI training data operations. Oversees onsite Site Program Leads, maintains separation from delivery teams, partners directly with research stakeholders, translates research needs into crowd data projects, and supports project stand-up. Owns capacity planning, utilization, governance, talent pipelines, escalation protocols, and client engagement while serving as a senior individual contributor.

Leads the development and execution of N-Power Medicine’s clinical research operations model. Oversees distributed clinical research staff and Clinical Operations, including staffing, capacity planning, training, performance metrics, study startup, TMF management, regulatory documentation, site and IRB coordination, and monitoring. Builds scalable SOPs, playbooks, dashboards, and workflows while partnering with network leadership and supporting oncology clinical trial execution across practices.

Leads multiple concurrent quantum computing R&D programs, translating research roadmaps into measurable execution plans and scalable technologies. Partners across applied research, engineering, product teams, and external organizations to prioritize work, manage risks, solve technical challenges, and advance quantum technologies toward fault-tolerant computing. Requires strong technical understanding of quantum hardware and software, exceptional communication, and extensive experience managing complex cross-functional technology initiatives.

Supports clinical quality operations and quality management systems through study document reviews, CAPA management, quality metrics, sponsor and FDA inspection readiness, eTMF and functional audits, clinical site and vendor audits, regulatory guidance tracking, SOP development, training, and quality issue remediation. Requires strong knowledge of GCP, FDA requirements, clinical research procedures, and quality assurance practices.

Own end-to-end permit research projects, delivering accurate and structured outputs for customer-facing Permit Guides. Collaborate with AI, engineering, product, and permitting teams to improve research accuracy, speed, and automation. The role requires strong research, accuracy, clarity, proactive problem-solving, and experience in architecture, construction management, commercial or retail permitting, or related project management.

Analyzes institutional data, surveys, student success metrics, enrollment trends, academic information, and KPIs. Prepares internal and external reports, data visualizations, statistical analyses, and presentations supporting university planning, accreditation, strategic initiatives, grants, and program reviews. The role also provides survey design and data-analysis consulting to university departments and ensures data integrity.

Conduct research on frontier AI systems and develop datasets, experiments, prototypes, tooling, evaluation frameworks, and reinforcement learning environments. Investigate synthetic and agentic data generation, post-training, model understanding, benchmarks, and evaluation. Collaborate with research, engineering, product, and operations teams to translate findings into scalable AI applications, while contributing to technical publications, open-source work, mentorship, and the broader AI research community.

Conduct frontier AI research and build research-grade datasets, prototypes, tooling, reinforcement learning environments, benchmarks, and evaluation frameworks. Design rigorous experiments, train and evaluate models, investigate synthetic and agentic data generation, and translate findings into scalable products. Collaborate with research, engineering, product, and operations teams, communicate technical insights, contribute to publications and open-source work, and mentor peers. This is a fully onsite role based in San Francisco, Palo Alto, or Seattle.

Conduct original research to develop frontier STEM benchmarks, evaluations, synthetic data methods, hallucination and reliability techniques, and agentic science workflows. Responsibilities include identifying research gaps, designing experiments, building evaluation pipelines, validating results, constructing benchmarks, and publishing findings. The role requires strong knowledge of modern LLMs, scientific judgment, quantitative reasoning, Python, technical writing, and independent research execution. This is an in-office position five days per week in San Francisco, Palo Alto, or Seattle.

Conduct original research to evaluate, train, and improve frontier AI systems. Responsibilities include developing STEM benchmarks, synthetic data methods, reliability and hallucination evaluations, verification techniques, and agentic science workflows. The role involves identifying research gaps, designing rigorous experiments, building evaluation pipelines, publishing findings, and proposing new research directions across reasoning, AI evaluation, data generation, and AI-for-science.

Conduct original research to evaluate, train, and improve frontier AI systems. Design benchmarks, synthetic-data methods, reliability and hallucination evaluations, verification techniques, and agentic science workflows. Identify research gaps, formulate hypotheses, build experiments and evaluation pipelines, publish findings, and develop new research directions across STEM and AI. The role requires strong Python skills, quantitative reasoning, technical writing, and expertise with modern LLMs.

Conduct frontier AI research and build research-grade datasets, prototypes, tooling, reinforcement learning environments, benchmarks, and evaluation frameworks. Investigate synthetic and agentic data generation, post-training, model understanding, and model capabilities. Design rigorous experiments, analyze results, and translate findings into scalable products and AI systems while collaborating across research, engineering, product, and operations teams.

Leads market research delivery and commercial growth across the Americas. Owns client accounts, provides strategic advice, develops new business, leads executive pitches, manages the commercial pipeline, and shapes regional growth strategy. Oversees research programs using quantitative and mixed methodologies, promotes technology- and AI-enabled approaches, and develops a high-performing team through performance management and career progression. Collaborates globally on client relationships and best-practice sharing.

Lead design and implementation of end-to-end evaluation platforms for agentic security workflows: build benchmarks, deterministic validators, graders, telemetry, CI/CD integration, and production feedback loops to measure safety, correctness, cost, latency, and human-review effort. Partner with engineering and product teams to detect regressions, compare configurations, and provide release-readiness evidence and reusable playbooks.

Conduct antibody discovery research by amplifying BCR sequences from sorted B-cells, analyzing sequences, and designing, cloning, and expressing recombinant monoclonal antibodies. The role also involves antibody humanization, molecular biology techniques, laboratory documentation, reporting, safety compliance, and maintaining lab organization. This is a full-time onsite position supporting preclinical therapeutic antibody development.

Manages home-based ABA programs for children with autism and related disabilities. Oversees treatment implementation, scheduling, materials, data collection, documentation, staff training, supervision, procedural fidelity, compliance, and communication among consultants, families, and therapy teams. Reviews client progress, maintains medical records, provides parent updates, and identifies when clinical modifications are needed. Requires Washington LABA/LBA certification, ABA experience, staff management skills, a driver’s license, reliable transportation, and daily driving.

Designs and supervises individualized home-based ABA programs for children with autism and related disabilities. Responsibilities include behavior assessment, treatment planning, skill instruction, staff and family training, data analysis, documentation, billing compliance, interdisciplinary collaboration, authorization management, and professional development. The role requires applying behavior-analytic research, supporting assent-based care, measuring client progress, maintaining clinical records, and mentoring program managers.