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# Sr. Research Data Analyst (Health Policy and Management&#x29

- **Company:** Johns Hopkins University
- **Location:** Baltimore, MD, United States
- **Experience:** Expert
- **Salary:** $55,800.0 - $97,600.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Databases, Data Validation, Data Files, Python (Programming Language), Software Tools, SQL Databases, Data Processing, Electronic Medical Records, Software Coding, Programming Languages
- **Published:** July 15, 2026
- **Apply:** https://main.hercjobs.org/jobs/22426641/sr-research-data-analyst-x28-health-policy-and-management-x29

## About the Role

* Master's Degree in a related field.
 * One year of related experience.
 * Highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
 * Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

 * PhD in a related field.
 * Strong proficiency in coding and data wrangling with SQL, R and/or Python for statistical analysis.

 * Experience with econometrics techniques.

 * Experience with health cost related data sets.

Technical Skills & Expected Level of Proficiency

 * Biostatistical Analysis - Intermediate
 * Data Management and Analysis - Intermediate
 * Data Tool and Resource Development - Intermediate
 * Data Validation and Quality Assurance - Intermediate
 * Project Management - Intermediate
 * Research Software Development - Intermediate
 * Statistical Modeling - Intermediate
 * Statistical Programming - Intermediate

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

## Description

We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for coordination of data and data analysis activities across multiple studies., * Develop, manage, and maintain a database for study data for multiple studies.

 * Develop standard operating procedures for initial data entry and data updates.
 * Oversee quality control procedures for database and ongoing analysis.
 * Develop data models.
 * Conduct statistical analyses of data collected in this system to support empirical study.
 * Build transmission models.
 * Create and curate software tools across diverse programming languages in support of research efforts.
 * Other duties as assigned.

In addition to the duties described above

 * Wrangle and analyze Electronic Health Record data other real world data including health insurance claims.
 * Use SQL, R and/or Python for statistical analysis.
 * Apply best practices for real-world evidence principles, including bias, confounding, and study design considerations.


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