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Senior/Lead Research Data Analyst

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Brown University

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Location:
United States

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Category:
Research and Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

The Senior/Lead Data Analyst at the School of Public Health’s Department of Health Services Policy & Practice joins a vibrant team supporting the activities of the Department and its research centers. The position is involved in health services and economics research to better understand and develop policies that will lower spending growth, improve patient outcomes, and drive structural change in U.S. health care delivery. Core topic areas include payment reform, long term care, the evolving landscape of Medicare and Medicare Advantage, commercial price growth, health care market structures including the impacts of consolidation and private equity ownership, and state efforts to address affordability and value.

Job Responsibility:

  • Perform quantitative analyses for various center research projects
  • Use technical skills to help researchers design studies, construct databases, manage data, perform statistical programming and analysis, and interpret and report results
  • Secondary data analysis of various administrative datasets including health care claims
  • Work collaboratively with faculty-led teams in a dynamic environment that encourages independent thinking, problem solving, and collegiality

Requirements:

  • Bachelor’s Degree and 3 to 5 years of experience or equivalent combination of education and experience
  • Bachelor’s Degree and 5 to 7 years experience or equivalent combination of education and experience
  • Demonstrated proficiency in applying various types of regression analysis, including linear, logistic, and multivariate techniques
  • Experience with econometric models to interpret data within an economic context
  • Background in propensity score matching, and causal inference models to assess treatment effects and inform policy
  • Experience in utilizing machine learning algorithms to analyze large datasets and generate predictive insights that support research questions
  • Skilled in managing and analyzing longitudinal data to track health outcomes over time and evaluate the effectiveness of interventions
  • Proficient in implementing bootstrapping procedures to estimate statistics on samples for robust predictive modeling
  • Advanced knowledge of methods to address missing data, ensuring the integrity and accuracy of analyses in the presence of incomplete data sets
  • Highly proficient in major statistical software package, e.g., Stata, R, SAS, Python, Tableau, Power BI
  • Experience analyzing and managing large complex data sets, including health care claims (commercial and/or CMS) or electronic health record data
  • Proficiency in descriptive analysis, modeling of data, and graphical presentations
  • Knowledge of the U.S. health care system
  • Ability to set goals and work independently to manage both short- and long-term responsibilities
  • Excellent organizational skills with keen attention to detail
  • Excellent verbal and written communication skills

Additional Information:

Job Posted:
January 26, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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