Senior UX & Survey Methodology Specialist | Hybrid

Westat, Inc.; Bethesda (MD); Hybrid; USD 97,000 - 115,000; Full time

Benefits offered by this job

401(k) Plan

Paid Parental Leave

Vacation Leave

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Life Insurance

Employee Stock Ownership Plan

Job summary

Westat, Inc. in Bethesda, MD is seeking a Senior Associate - Survey Methodology with UX/HCI expertise to design and evaluate digital data collection experiences, including web surveys and participant portals.

You will work with methodologists, UX designers, and developers using mixed methods to improve usability, measurement quality, and data integrity, translating findings into actionable recommendations for questionnaires and interfaces.

Qualifications

• Master's degree in HCI, Survey Methodology, Psychology, or related field.
• 5+ years of research in HCI, UX, or survey design.
• Experience with quantitative and qualitative methods, including usability testing.
• Experience using statistical software (R, Python, SAS).

Responsibilities

• Design and evaluate survey questionnaires and digital data collection experiences using HCI and UX research to improve usability.
• Conduct quantitative research including surveys, experiments/A-B tests, and analyses of survey and paradata.
• Conduct qualitative research such as cognitive interviews, usability testing, think-aloud studies.
• Translate findings into actionable recommendations and collaborate with teams to test questionnaires.

Skills

HCI design

UX research

Survey methodology

Questionnaire design

Digital data collection

Mixed methods

Education

Master's degree in HCI or related field

PhD in related field

Tools

R

Python

SAS

Job description

Westat, Inc. in Bethesda, MD is seeking a Senior Associate - Survey Methodology with UX/HCI expertise to design and evaluate digital data collection experiences, including web surveys and participant portals.

You will work with methodologists, UX designers, and developers using mixed methods to improve usability, measurement quality, and data integrity, translating findings into actionable recommendations for questionnaires and interfaces.