Senior Quantitative Researcher

Gen UX Consulting; California; On-site; USD 130,000 - 190,000; Full time

Job summary

Gen UX Consulting seeks a Senior/Principal Quantitative Researcher to lead statistical research across medical devices, human factors studies, and regulatory submissions. You will design SAPs, perform advanced analyses, and help defend methodologies in client and regulatory discussions.

Ideal candidates hold advanced degrees in statistics or related fields, with strong expertise in R, regression models, and study design, plus experience mentoring researchers and collaborating across disciplines.

Qualifications

• Master's degree or PhD in Statistics, Biostatistics, Quantitative Psychology, Experimental Psychology, Behavioral Science, Applied Mathematics, Data Science, or related quantitative discipline.
• Significant professional experience conducting advanced quantitative research and statistical analyses.
• Demonstrated expertise in experimental design, statistical modeling, hypothesis testing, power analysis, and sample size determination.
• Advanced proficiency in R/RStudio, including statistical programming, modeling, visualization, and reproducible analytical workflows.

Responsibilities

• Design and execute complex quantitative studies, including experimental, randomized, observational, comparative, and longitudinal research.
• Develop statistical analysis plans, research protocols, hypotheses, endpoints, and analytical strategies.
• Conduct advanced statistical analyses, including regression, generalized linear models, mixed-effects models, and multivariate analyses.
• Perform power calculations, sample size estimations, hypothesis testing, and statistical justification for study designs.
• Develop reproducible analytical workflows using R/RStudio, including data cleaning, validation, modeling, and visualization.
• Evaluate statistical assumptions, research validity, potential biases, and methodological limitations.

Skills

Statistical analysis

Experimental design

Hypothesis testing

Data visualization

Scientific writing

Mentorship

Project management

Regulatory documentation

Education

Master's degree in Statistics

PhD in Statistics

Tools

R/RStudio

SAS

Python

Job description

Key ResponsibilitiesStatistical Analysis & Experimental Research

• Design and execute complex quantitative studies, including experimental, randomized, observational, comparative, and longitudinal research.
• Develop statistical analysis plans, research protocols, hypotheses, endpoints, and analytical strategies.
• Conduct advanced statistical analyses, including regression, generalized linear models, mixed-effects models, and multivariate analyses.
• Perform power calculations, sample size estimations, hypothesis testing, and statistical justification for study designs.
• Develop reproducible analytical workflows using R/RStudio, including data cleaning, validation, modeling, and visualization.
• Evaluate statistical assumptions, research validity, potential biases, and methodological limitations.

Regulatory Research & Client Collaboration

• Support quantitative research for medical devices, human factors studies, usability evaluations, and regulatory submissions.
• Prepare scientifically defensible statistical documentation and reports, including materials supporting FDA submissions.
• Interpret regulatory feedback and provide statistical recommendations addressing methodological questions.
• Translate complex analytical findings into clear recommendations for technical and nontechnical stakeholders.
• Collaborate with multidisciplinary teams and independently manage research deliverables, timelines, and quality expectations.

Scientific Leadership

• Serve as a statistical subject matter expert across research engagements.
• Review research methodologies, statistical analyses, and technical deliverables for scientific accuracy and integrity.
• Provide methodological guidance and mentorship to other researchers.
• Contribute to improvements in research processes, analytical methodologies, and statistical quality standards.
• For principal-level candidates, lead statistical strategy and independently defend methodological decisions in client-facing and regulatory discussions.

QualificationsRequired

• Master's degree or PhD in Statistics, Biostatistics, Quantitative Psychology, Experimental Psychology, Behavioral Science, Applied Mathematics, Data Science, or a related quantitative discipline.
• Significant professional experience conducting advanced quantitative research and statistical analyses.
• Demonstrated expertise in experimental design, statistical modeling, hypothesis testing, power analysis, and sample size determination.
• Advanced proficiency in R/RStudio, including statistical programming, modeling, visualization, and reproducible analytical workflows.
• Strong experience with regression, generalized linear models, mixed-effects models, and other advanced statistical techniques.
• Experience developing statistical analysis plans, research protocols, and comprehensive statistical reports.
• Ability to independently evaluate complex datasets, select appropriate statistical methodologies, and interpret findings.
• Excellent scientific writing, analytical reasoning, and communication skills.
• Demonstrated ability to manage complex research assignments, collaborate across disciplines, and deliver high-quality work independently.

Preferred

• PhD in Statistics, Biostatistics, Quantitative Psychology, Experimental Psychology, or a related discipline.
• Experience in medical devices, pharmaceutical research, healthcare, human factors, UX research, or harm reduction.
• Familiarity with FDA regulatory expectations and statistical documentation supporting regulatory submissions.
• Experience with large-scale experimental or longitudinal studies and advanced statistical modeling.
• Proficiency in Python, SAS, SPSS, or other analytical tools.
• Consulting experience or demonstrated leadership of multidisciplinary research projects.

Senior vs. Principal Level Expectations

Senior Quantitative Researcher

Independently designs and executes complex statistical analyses, develops SAPs, contributes to experimental design, and delivers scientifically rigorous research with limited oversight.

Principal Quantitative Researcher

Leads statistical strategy, serves as the scientific authority for complex research engagements, and independently develops, evaluates, justifies, and defends statistical methodologies to clients and regulatory reviewers. Provides technical leadership, mentoring, and quality oversight.

What We Value

At Gen UX Consulting, exceptional research requires more than technical expertise. We value intellectual curiosity, scientific integrity, accountability, collaboration, and continuous improvement.

We seek researchers who take ownership of their work, exercise sound scientific judgment, respect project responsibilities, and consistently deliver thoughtful, accurate, and scientifically defensible research.

Application Requirements

Location Requirement: Candidates must reside in California or Colorado.