Analytics & Research Senior Scientist
New
J
JobgetherHealthcare Analytics
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLR
Requirements
- Ph.D. in Survey Methodology, Statistics, Psychometrics, Sociology, Psychology, quantitative social sciences, healthcare-related disciplines, or a related field.
- 7+ years of professional experience in survey research, analytics, measurement science, or related areas.
- Advanced knowledge of survey methodology, questionnaire development, psychometric testing, sampling strategies, weighting techniques, and bias reduction methods.
- Experience designing and applying research methodologies such as experimental designs, A/B testing, randomized controlled trials, qualitative research, and mixed-methods studies.
- Proven ability to translate analytical findings into actionable recommendations that influence decisions and organizational improvement.
- Strong understanding of benchmarking methodologies, measurement frameworks, and data governance principles.
- Experience working with healthcare measurement, patient experience analytics, or regulatory survey programs is preferred.
- Ability to evaluate emerging technologies, AI-enabled approaches, and innovative research methodologies.
- Proficiency with analytical tools such as SPSS, R, Python, SQL, or equivalent platforms.
- Strong communication, collaboration, and stakeholder management skills.
Responsibilities
- Serve as the primary methodological expert for research programs, analytics initiatives, benchmarking frameworks, and measurement solutions.
- Provide scientific guidance on survey design, measurement approaches, analytics methodologies, and research decisions.
- Lead the development, evaluation, and continuous improvement of survey instruments and measurement frameworks.
- Apply advanced expertise in survey methodology, questionnaire design, sampling, weighting, psychometrics, and bias mitigation.
- Partner with Product, Engineering, Data Science, Operations, Client Support, Advisory, and leadership teams throughout product and analytics lifecycles.
- Develop and govern benchmarking methodologies, quality standards, adjustment frameworks, and performance measurement practices.
- Apply statistical and analytical techniques to identify performance drivers, trends, and opportunities for improvement.
- Lead validation studies, pilot programs, and innovation initiatives involving emerging technologies, AI-enabled capabilities, and alternative measurement approaches.
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