Overview In this role you guide human-subjects data-collection programs and lead interdisciplinary teams to deliver rigorous studies and data-driven insights. You work across Data Sciences, Human Factors, Biomechanics, Health Sciences, and engineering to design studies, ensure data quality, and build practical tools. You'll troubleshoot in real-world environments and maintain strong client relationships. This position offers collaboration with multidisciplinary experts to advance safety, health, and usability in complex products and processes.
Compensation / Benefits- competitive benefits
- 401(k) employer contribution of 7%
- base salary plus bonuses
- career growth and mentoring
- on-site work environment
- flexible work arrangements
Responsibilities- 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
Key requirements- M.S. with at least 4 years of post-degree experience or a Ph.D. in one of the listed fields
- Legally authorized to work in the United States; no immigration sponsorship required
- Record of leading complex human-subjects research or large experimental data-collection efforts
- Experience in 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 translate ambiguous questions into rigorous approaches and communicate insights 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 instrumentation and data acquisition experience; hardware/software troubleshooting
- Practical scripting/programming skills (e.g., Python, JavaScript, MATLAB, R) for automation and data checks
- Experience building data pipelines and quality methods for sensor/subject data
- Familiarity with machine learning concepts and model-assisted data quality approaches
- strong interpersonal judgment
- team motivation and coordination
- excellent verbal and written communication
- instrumentation and data acquisition
- hardware/software troubleshooting across OS
- scripting/programming (Python, JavaScript, MATLAB, R)
