Research Data Analyst (Department of Epidemiology)

Johns Hopkins University•Baltimore, MD

1d•$23 - $40•Onsite

About The Position

The Research Data Analyst will provide data analysis and related activities for various types of research projects and studies. The Research Data Analyst will contribute to ongoing development, maintenance, and use of a research data pipeline that collects and analyzes data. We are seeking a Research Data Analyst to work on research projects in the area of COVID-19 and invasive meningococcal disease using electronic health record data.

Requirements

Bachelor's Degree in a related field.
Three years of related experience.
Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.
Candidates must be proficient using one or more statistical software programs, such as SQL, Python, R, etc.

Nice To Haves

MS or PhD Degree in progress in Clinical Informatics, Biostatistics, Biomedical Engineering, Computer Science, or Epidemiology.
Experience working with EHR data, CPT mapping

Responsibilities

Collect data and generate reports and models.
Run models, analyze model results, and prepare reports on the analysis.
Conduct analyses in support of the assigned research project or study.
Conduct statistical analyses using standard and statistical software packages.
Design and prepare tables to illustrate analytic findings.
Manage or contribute to entry of data in the assigned database.
May engage in other research related responsibilities.
Other duties as assigned.
Develop data collection and analysis methodology, including defining in detail data requirements, data sources and proper data collection procedures, e.g., computer programs (SQL, Python, R), appropriate data fields, databases.
Develop and implement data collection quality assurance procedures to ensure validity and reliability of study results.
Create/build and maintain databases, records and files.
Collect data using electronic medical record data source.
Perform data analysis and interpretation.
Utilize knowledge of statistics and quantitative analysis.
May serve as resource for research staff and field data coordinators regarding data issues: collection, entry, quality, transfer.
Present research data.
Generate reports, charts, tables, and create presentations.
May contribute to writing sections of manuscripts/publications.