Senior​/Lead Research Data Analyst

Overview

Senior/Lead Research Data Analyst role at Brown University, School of Public Health, Department of Health Services Policy & Practice. The position supports Department and research centers, conducting health services and economics research to inform policy and improve care delivery. Core topics include payment reform, long term care, Medicare/Medicare Advantage, price growth, health care market structures, and affordability and value. The analyst will perform quantitative analyses, design studies, construct databases, manage data, perform statistical programming and analysis, and interpret and report results.

Much of the work involves secondary data analysis of administrative datasets including health care claims. The analyst will collaborate with faculty-led teams in a dynamic environment that encourages independent thinking and problem solving.

Note: This is a dual graded position posting. The grade level will be determined by the candidate's qualifications and experience.

The analyst will:

• 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;
• conduct secondary data analysis of administrative datasets including health care claims;
• work collaboratively with faculty-led teams in a dynamic environment that encourages independent thinking, problem solving, and collegiality.

Grade 9
Bachelor's Degree and 3 to 5 years of experience or equivalent combination of education and experience.

Grade 10
Bachelor's Degree and 5 to 7 years experience or equivalent combination of education and experience.

• Demonstrated proficiency in applying regression analyses (linear, logistic, and multivariate) and 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 with machine learning algorithms to analyze large datasets and generate predictive insights for research questions.
• Skilled in managing and analyzing longitudinal data to track health outcomes and evaluate interventions.
• Proficient in bootstrapping procedures to estimate statistics for robust predictive modeling.
• Advanced knowledge of methods to address missing data and ensure data integrity.
• Highly proficient in major statistical software packages (e.g., Stata, R, SAS, Python, Tableau, Power BI).
• Experience analyzing and managing large complex data sets, including health care claims 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 short- and long-term responsibilities.
• Excellent organizational skills with keen attention to detail.
• Excellent verbal and written communication skills.

Additional physical demands and working conditions: Hybrid Eligible

End date / Term: This is a fixed term position with a current end date of 12/31/2026, which may be extended based upon available funding.

Benefits of Working at Brown: Information on the Benefits of Working at Brown can be found here (no anchor link included).

Recruiting

Start Date:

Job Posting

Title:

Senior/Lead Research Data Analyst

Department: Center for Gerontology & Health Care Research

Grade: Grade 9

Worker Type: Employee

Worker Sub-Type: Fixed Term (Fixed Term)

Time Type: Full time

Scheduled Weekly

Hours:

37.5

Position

Work Location:

Hybrid

Submission Guidelines: To be considered for any staff position, submit an application for each position you are qualified for. Include a cover letter and resume with each application. This position is not eligible for visa sponsorship.

If you have questions, you may contact employment.

Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based on race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected by law. The University maintains affirmative action programs in compliance with applicable law.

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