Hybrid Research Data Analyst - Reproducible EHR Analytics

Johns Hopkins University; Baltimore (MD); Hybrid; USD 35,000 - 61,000; Full time

Job summary

Johns Hopkins University is seeking a Research Data Analyst to support pediatric and adolescent medicine research by analyzing study data and building an efficient data pipeline. The role emphasizes statistical analysis, data management, and reproducible workflows for cleaning and analyzing EHR datasets.

Responsibilities include collecting data, running models, generating reports, and creating publication-ready visuals.

Qualifications

• Bachelor’s Degree in a related discipline and three years of related experience.
• Proficiency in Python and R, Stata, and experience with SQL and relational databases to support data cleaning, management, processing, analysis, and documentation.
• Strong statistical analysis and data visualization skills for publication-ready outputs.

Responsibilities

• Collect data and generate reports and models.
• Run models, analyze model results, and prepare reports on analysis outcomes.
• Conduct analyses in support of the assigned research project or study.
• Perform statistical analyses using standard statistical software packages.
• Design and prepare tables that illustrate analytic findings.
• Develop and maintain reproducible workflows for cleaning, processing, integrating, and analyzing EHR and study-generated clinical datasets.
• Create publication- and presentation-ready tables, figures, and data visualizations to support interpretation of findings.

Skills

Data management

Reproducible workflows

Statistical analysis

Data cleaning

Data visualization

Education

Bachelor’s degree in a related discipline

Tools

Python

R

Stata

SQL

Relational databases

EHR

Job description

Johns Hopkins University is seeking a Research Data Analyst to support pediatric and adolescent medicine research by analyzing study data and building an efficient data pipeline. The role emphasizes statistical analysis, data management, and reproducible workflows for cleaning and analyzing EHR datasets.

Responsibilities include collecting data, running models, generating reports, and creating publication-ready visuals.