Human Systems Research Scientist — Data & Human Factors Lead

Exponent Inc.; New York (NY); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Access to Life@Exponent resources

Job summary

Exponent Inc. in New York, NY seeks a Human Systems Research Scientist to lead complex, human-subjects data-collection programs and guide interdisciplinary teams in fast-paced projects.

The role requires advanced degrees and a proven ability to translate ambiguous questions into rigorous data-driven approaches, along with strong written and verbal communication for technical and client audiences.

Qualifications

• MS or PhD in Human-Computer Interaction, Human Factors, Biomechanics, Ergonomics, Neuroscience, Cognitive Science, Psychology, Kinesiology or related field.
• Presently legally authorized to work in the United States; no sponsorship required.
• Track record leading complex human-subjects research or large data-collection efforts.
• Experience in areas such as HCI, human factors, biomechanics, ergonomics, neuroscience, sensing, wearable devices, motion capture, or mobile-device research.

Responsibilities

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

Skills

Project leadership

Interdisciplinary collaboration

Data analysis

Communication skills

Problem solving

Education

MS with 4+ years or PhD in related field

Tools

Python

MATLAB

R

JavaScript

Job description

Exponent Inc. in New York, NY seeks a Human Systems Research Scientist to lead complex, human-subjects data-collection programs and guide interdisciplinary teams in fast-paced projects.

The role requires advanced degrees and a proven ability to translate ambiguous questions into rigorous data-driven approaches, along with strong written and verbal communication for technical and client audiences.