Sr. Research Data Analyst (Health Policy and Management)

Johns Hopkins University•Baltimore, MD

7d•$57,195 - $100,040•Hybrid

About The Position

The Sr. Research Data Analyst supports health economics and health services research projects led by faculty in the Department of Health Policy and Management. Projects examine topics including the health of older adults, mental health and substance use, value in Medicare and Medicaid, health care affordability, and improving the value and quality of health care delivery. The role is suited to candidates interested in applied academic research, including those considering a PhD in health economics or health services research. The analyst builds complex data models and conducts complex data analysis in support of research projects, programs, and studies, coordinating data and analysis activities across multiple studies. Work primarily involves constructing analytic datasets from large administrative sources such as health insurance claims, electronic health records, employment records, and population survey data. Responsibilities include data management and quality assessment, data linkage and integration, and applying statistical and econometric methods under faculty guidance. The analyst may also work with less structured sources such as clinical notes or business ownership records. The position offers opportunities to contribute intellectually to research projects and, when contributions warrant, to coauthor resulting manuscripts. The role is full-time and hybrid at the School of Public Health, with a Monday-to-Friday schedule from 9:00 a.m. to 5:00 p.m. The starting salary range is $57,195–$100,040 annually, commensurate with experience.

Requirements

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.
Intermediate proficiency in biostatistical analysis.
Intermediate proficiency in data management and analysis.
Intermediate proficiency in data tool and resource development.
Intermediate proficiency in data validation and quality assurance.
Intermediate proficiency in project management.
Intermediate proficiency in research software development.
Intermediate proficiency in statistical modeling.
Intermediate proficiency in statistical programming.

Nice To Haves

PhD in a related field.
Experience with STATA, R, SAS, and/or SQL.
Experience implementing econometric research designs, including instrumental variables and difference-in-differences, as well as regression modeling.

Responsibilities

Develop, manage, and maintain study databases for multiple studies.
Develop standard operating procedures for initial data entry and data updates.
Oversee quality-control procedures for databases and ongoing analyses.
Develop data models and build transmission models.
Conduct statistical analyses of data collected in study systems to support empirical research.
Create and curate software tools across diverse programming languages in support of research efforts.
Develop and maintain analytic datasets from large administrative sources, including health insurance claims and electronic health records.
Perform advanced data management and data linkage, including cleaning and integrating disparate datasets, fuzzy matching of individuals or organizations, and geocoding addresses.
Conduct data-quality assessments and exploratory analyses using descriptive statistics, visualizations, and other diagnostic methods.
Implement statistical and econometric analyses under faculty guidance, including regression and quasi-experimental designs such as instrumental variables and difference-in-differences.
Prepare analytic results, tables, figures, and documentation for presentations and manuscripts.
Perform other duties as assigned.