Sr. UX Research Assistant (temporary)
Sago
| Company | Sago |
| Category | Design |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Temporary |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 23 Jul 2026 |
| Last verified | 11 Aug 2026 |
| Source | Employer ATS (workable) |
Description
Sago is a global leader in market research and data solutions, committed to connecting human answers to business questions. The world is transforming, and Sago is continuously reaching new heights, redefining our solutions beyond our clients' wildest expectations, and making it smarter, faster, and easier to gain insights that matter. We're a team of innovators, strategists, and problem-solvers, passionate and inspired thinkers, who celebrate our wins. We are vibrant leaders who empower our colleagues and innovate the Market Research industry - curious learners constantly finding new ways to transform. We are bold thinkers and authentic team members who show up to work every day being ourselves, never afraid of new ideas or opinions, because we believe they matter. We are currently seeking a SENIOR UX RESEARCH ASSISTANT for a temporary position anticipated to last three (3) months, with the possibility for extension. Location: Onsite within proximity to Penn Station, NYC Schedule: Four (4) days per week, Friday through Monday (full-time, daytime hours) Pay rate: Hourly rate is anticipated to be $40-$42/hour dependent on candidate experience and qualifications. Requirements POSITION SUMMARY: The Senior UX Research Assistant serves as a senior operational member of the Research Support Team, supporting and overseeing high-quality human participant research studies on emerging technology initiatives. In addition to executing research studies, this role provides day-to-day oversight for UX Research Assistants and to ensure operational consistency, study readiness, data quality, and a strong participant experience across active research programs. This role combines advanced research execution, technical study support, team coordination, quality oversight, and escalation ownership in a fast-paced, highly collaborative environment where priorities and study needs may evolve quickly. This role would report to an onsite program manager. KEY JOB RESPONSIBILITIES: Study Leadership & Operational Oversight Lead or support execution of complex human participant research studies in accordance with approved protocols, study requirements, and operational expectations. Coordinate daily study execution across assigned programs, ensuring study environments, equipment, documentation, and team coverage are ready and aligned. Serve as an operational point of contact for assigned research activity, helping translate study requirements into clear execution plans and priorities. Monitor study progress, identify operational risks early, and support timely resolution of issues that could affect participant experience, data quality, or timelines. Act as an escalation point for study execution challenges involving protocols, equipment, scheduling, participant needs, or cross-functional coordination. Team Oversight & Development Provide day-to-day direction, support, and coordination for UX Research Assistants and Research Project Coordinators assigned to their teams. Support the program manager on workload distribution, onsite coverage, study assignments, and operational priorities across active research programs. Support onboarding and training for new team members, including study protocols, participant experience expectations, documentation standards, and lab readiness practices. Coach team members on effective research execution, communication, troubleshooting, and escalation practices. Promote accountability, collaboration, consistency, and continuous improvement across assigned teams. Data Quality & Research Excellence Oversee data collection activities to ensure consistency, accuracy, completeness, and alignment with study requirements. Review study documentation, operational records, and data outputs for quality, completeness, and adherence to established processes. Support advanced troubleshooting of data collection tools, research equipment, lab systems, and study workflo