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Senior Research Scientist, Remote

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 10+ years

📍 Location: United States

🔍 Industry: Healthcare

🗣️ Languages: English

⏳ Experience: 10+ years

🪄 Skills: PythonSQLBusiness IntelligenceData AnalysisGitMachine LearningCross-functional Team LeadershipAlgorithmsData engineeringData scienceStrategic ManagementCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsMentoringResearchMarket ResearchData visualizationStrategic thinkingData modeling

Requirements:
  • Bachelor’s degree and 10+  years of relevant experience (advanced degree may substitute for some experience)
  • Masters or PhD in economics, health services research, statistics, or similar
  • Proven expertise in advanced quantitative analysis, grounded in econometrics, statistics, or related disciplines
  • Advanced data manipulation skills, including proficiency in SQL and statistical programming in R, Python, or Stata
  • Demonstrated mastery of causal inference techniques (e.g., randomized trials, regression discontinuity, difference-in-differences, instrumental variables, matched designs)
  • Deep understanding of healthcare delivery organizations, including experience with organizational data, and insights into market structures such as horizontal and vertical integration
  • Excellent communication skills with the ability to articulate complex findings to leaders and translate insights into actionable recommendations
  • Strong project management skills and a commitment to process excellence, quality assurance, and meticulous documentation
Responsibilities:
  • Lead cross-functional projects to design, execute, and disseminate rigorous quantitative analyses that inform strategic decisions and operational improvements.
  • Serve as a subject matter expert on study design, causal inference, predictive modeling, simulation, and optimization methodologies.
  • Mentor and guide junior analysts, fostering an environment of continuous learning, innovation, and excellence in data-driven research.
  • Develop and implement repeatable processes with strong version control (e.g., Git), ensuring high-quality, scalable analyses and transparent documentation.
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