We are currently seeking aHuman Systems Research Scientistfor ourData SciencesPractice inNew York, NY. This role is for an accomplished human-subjects researcher who can lead complex data-collection programs, work hands-on with technical systems, and guide interdisciplinary teams in fast-moving, ambiguous project environments.

• Lead local and global human-subjects data-collection programs, including study design, protocols, participant workflows, quality control, and delivery
• Coordinate interdisciplinary teams across Data Sciences, Human Factors, Biomechanics, Health Sciences, and engineering
• Troubleshoot prototype hardware, sensor arrays, mobile devices, operating systems, and research software in real-world study environments
• Build lightweight tools for tracking, automation, visualization, data processing, and quality control
• Document data flows from collection through delivery, including transformations, validation checks, exceptions, and quality gates
• Develop and maintain strong client and stakeholder relationships

• M.S. with at least 4 years of post-degree experience or a Ph.D. in Human-Computer Interaction, Human Factors, Biomechanics, Ergonomics, Neuroscience, Cognitive Science, Psychology, Kinesiology, or a relevant engineering/scientific field. Please note that recent M.S. graduates do not meet this requirement.
• Presently legally authorized to work in the United States; no immigration sponsorship or processing required
• Record of leading complex human-subjects research, user studies, or large experimental data-collection efforts
• Experience in one or more areas such as HCI, human factors, biomechanics, ergonomics, behavioral or systems neuroscience, cognitive science, sensing systems, wearable devices, motion capture, or mobile-device research
• Ability to turn ambiguous scientific or operational questions into rigorous approaches and communicate insights clearly to technical, executive, and client audiences
• Preferred: First-author research publication experience and/or presentation experience in academic, technical, industry, or client-facing forums

• Hands-on comfort with instrumentation, data acquisition, synchronization, hardware/software troubleshooting, and operating-system quirks
• Practical scripting or programming skills, such as Python, JavaScript, MATLAB, R, or similar tools for automation, data checks, and workflow support
• Experience constructing data pipelines or processing workflows that transform raw human-subjects, sensor, device, or interaction data into analysis-ready datasets
• Experience developing custom data-quality methods, audits, dashboards, or automated checks for missingness, synchronization issues, labeling errors, outliers, protocol deviations, or other sources of noise
• Familiarity with machine learning concepts, dataset evaluation, labeling workflows, or model-assisted approaches to improving data quality

• Exceptional organization, attention to detail, practical judgment, and willingness to do hands-on work that may fall outside traditional data science or academic research roles
• Strong interpersonal judgment and people-management skills, including the ability to motivate teams, coordinate contributors, and maintain high standards under time pressure
• Excellent verbal and written communication skills; ability to work independently and in multidisciplinary teams
• Flexibility to support changing study timelines, participant schedules, evening/weekend needs, and domestic or international travel, including extended engagements of 2 6 weeks

Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].

Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.

Access benefits information on our Life@Exponent page:

https://www.exponent.com/careers/life-exponent