Senior Researcher (Remote)

Pulse Labs AI; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Pulse Labs AI is seeking a Senior Mixed-Methods Researcher to lead high-impact studies and partner with enterprise clients. You will design and execute quantitative and qualitative research, synthesize rich data, and deliver data-driven narratives guiding next-generation products.

Ideal candidates have 5+ years of mixed-methods experience, strong English communications, and a track record of influencing executive decisions.

Qualifications

• Must be fluent in English.
• 5+ years of mixed-methods research experience leading end-to-end quantitative and qualitative investigations.
• Proven expertise across the full research lifecycle: design, data collection, analysis, and synthesis.
• Strong client/ stakeholder management and ability to present findings to senior leadership.

Responsibilities

• Partner with enterprise clients to scope and align research plans with goals and timelines.
• Architect and lead end-to-end mixed-methods studies using surveys, usability methods, and qualitative interviews.
• Own planning, execution, and delivery across fast-paced, multi-track studies.
• Synthesize multimodal data (video, transcripts, surveys) to reveal behavioral drivers and product opportunities.
• Conduct advanced quantitative analyses (e.g., MaxDiff, conjoint analysis, factor analysis).
• Translate data into client-ready deliverables: executive summaries, scorecards, decks, reports.
• Present findings and strategic recommendations to cross-functional and executive stakeholders.
• Mentor junior researchers and analysts; drive methodological consistency and growth.
• Collaborate with leadership to refine workflows and improve project delivery.

Skills

Fluent English

5+ years exp

Mixed-methods research

Quantitative analysis

Qualitative analysis

Stakeholder management

Data storytelling

Cross-functional collaboration

Google Workspace proficient

Education

Graduate degree in psychology

Tools

Google Workspace

Proprietary SaaS platforms

Job description

Pulse Labs delivers actionable, human-centered insights that guide the product lifecycles of the world’s leading technology companies. Backed by investors including Google, we provide end-to-end user research – from early concept to post-launch – powering high-priority innovations across AI, mobile platforms, wearables, and connected ecosystems.

We are seeking a Senior Mixed-Methods Researcher to lead high-impact research initiatives and serve as a strategic partner to our clients. In this role, you will architect and execute comprehensive quantitative and qualitative studies, including surveys, longitudinal panels, diary studies, usability testing, IDIs, as well as statistical analysis. Leveraging Pulse Labs’ proprietary research platform, you will synthesize rich video and survey datasets to deliver clear, data-driven narratives about how users interact with next-generation products.

You will join a collaborative team of researchers and analysts operating in a fast-paced, rapid-delivery environment where methodological rigor is paramount. If you excel at balancing multiple high-visibility projects, solving complex research challenges, and influencing cutting-edge tech, we would love to connect.

This is a 100% full-time remote requiring at least 80% overlap with Pacific Time (UTC/GMC-8). At times, you will be required to work before and after standard work hours, including weekends, to ensure quality and on-time client delivery.

Key Responsibilities

• Client Consultation & Research Strategy: Partner directly with enterprise clients to scope, design, and align research plans with business goals, technical requirements, and delivery timelines.
• Mixed-Methods Execution: Architect and lead end-to-end research using advanced survey design, UX methodologies, and questionnaire frameworks, maintaining high standards of data integrity and client satisfaction.
• Research Study Project Ownership: Own the planning, execution, and delivery of fast-paced, multi-track research studies. Act as the central driver of project success collaborating closely with Program Management, Recruitment, and Ops to monitor project health, safeguard data quality, enforce timelines, and maintain methodological rigor throughout.
• Qualitative Synthesis: Mine rich multimodal data, including participant video recordings, transcripts, and open-ended feedback, to uncover behavioral drivers and product opportunities.
• Quantitative Analysis: Run advanced statistical analyses (e.g., MaxDiff, conjoint analysis, factor analysis) to evaluate feature prioritization, trade-offs, and behavioral trends.
• Deliverable Creation & Storytelling: Translate complex data into compelling, client-ready formats, including executive summaries, scorecards, slide decks, and detailed analytical reports tailored to stakeholder needs.
• Stakeholder Presentation: Present findings and strategic recommendations to cross-functional teams and executive leadership across various technology verticals.
• Mentorship & Culture: Coach and mentor junior researchers and analysts, fostering analytical consistency and professional growth across the team.
• Continuous Improvement: Partner with internal leadership to refine research workflows, streamline operational processes, and integrate lessons learned from project cycles.

• Must be fluent in English
• Experience: 5+ years of mixed-methods research experience leading end-to-end quantitative and qualitative investigations in a fast-paced, detail-oriented research operations environment.

• Methodological Depth: Proven expertise across the entire research lifecycle – from study design and advanced data collection to analysis and synthesis – with deep familiarity with UX, behavioral, and human-centered design frameworks.
• Client & Stakeholder Management: Track record of managing client/consulting relationships, with demonstrated success translating complex findings and presenting both original and peer-conducted research to senior and executive stakeholders.
• Analytical & Data Acumen: Strong pattern recognition and anomaly detection skills, capable of identifying subtle behavioral trends and ensuring data integrity across large, multimodal datasets.
• Operational Drive & Autonomy: High degree of personal ownership, proactivity, and operational rigor; comfortable navigating ambiguity and self-initiating solutions in a rapid-response, multi-project setting.
• Cross-Functional Collaboration: Proven ability to partner effectively with internal teams, external stakeholders, and clients, maintaining a positive and highly collaborative team environment.
• Tools & Software: Tech-forward mindset with advanced proficiency in Google Workspace (Docs, Sheets, Slides) and adaptability with modern analytical, panel management, and proprietary SaaS platforms.
• Education: Graduate degree in Psychology, Survey Methodology, HCI, Human Factors, Research Methods, or a closely related field.
• Preferences: Prior experience in an agency, consultancy, or vendor-side research environment delivering client-facing insights; experience conducting research for or working within FAANG/tier-one tech companies; hands‑on familiarity with next-gen consumer technologies, hardware, or AI-driven product ecosystems.