Analytics & Research Senior Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Analytics & Research Senior Scientist (Survey Science): Provide scientific leadership for healthcare patient-experience measurement across survey instruments, benchmarking methodologies, and analytics solutions with an accent on / с акцентом на psychometrics, survey validity/reliability/comparability, and governance of benchmarking integrity. Focus on / Фокус на translating complex survey and statistical findings into actionable insights for quality improvement and strategic decision-making.
Location: Remote USA
Company
delivers experience measurement, data analytics, and insights for complex industries, with deep roots in U.S. healthcare.
What you will do
- Act as primary methodological authority for assigned products, benchmarking programs, and strategic initiatives.
- Lead survey science and measurement methodology: instrument design, evaluation, validation, and continuous improvement.
- Ensure reliability, validity, comparability, and intended use through validation studies, equivalency testing, and survey design/administration evaluation.
- Develop and govern benchmarking and comparative performance measurement methodologies, including adjustment methods and quality criteria.
- Provide analytics and statistical consulting to identify drivers of patient experience performance and emerging trends.
- Design and evaluate pilot studies and innovation initiatives, including evidence standards for AI-enabled and alternative measurement approaches.
Requirements
- Ph.D. in Survey Methodology, Statistics, Psychometrics, Sociology, Psychology, or another quantitative social science or healthcare-related discipline.
- 7+ years of professional experience in survey research, analytics, or related fields.
- Deep expertise in survey methodology, questionnaire design, psychometric testing, sampling, weighting, and bias mitigation.
- Experience applying research methodologies to complex measurement questions (e.g., experimental designs, A/B testing, RCTs, qualitative research, mixed-methods).
- Proven ability to translate analytical findings into actionable insights for decision-making or improvement.
- Proficiency in SPSS, R, Python, SQL, or equivalent tools.
Culture & Benefits
- Remote work for USA-based roles.
- Collaborative, cross-functional environment partnering with Product, Engineering, Data Science, Operations, Client Support, Advisory, and Executive Leadership.
- Emphasis on learning and continuous improvement.
- Commitment to diversity, inclusion, and equal employment opportunity.
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