Research Data Analyst (School of Medicine Adolescent Medicine) at Johns Hopkins University

Job description

The School of Medicine Pediatric Adolescent & Young Adult Medicine is seeking a Research Data Analyst to 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. Specific Duties & 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. In addition to the duties described above • Develop and maintain reproducible workflows for cleaning, processing, integrating, and analyzing EHR and study-generated clinical datasets • Conduct comprehensive data quality assessments to identify and resolve missing, inconsistent, duplicate, or anomalous data • Integrate and manage data from study sources to support quantitative and qualitative research analyses • Develop, document, and maintain analysis code and technical workflows to ensure accuracy, reproducibility, and continuity across project activities • Create publication- and presentation-ready tables, figures, and data visualizations to support interpretation of findings and dissemination of study results • Other duties as assigned. Minimum Qualifications • Bachelor's Degree in related discipline. • Three years of related experience. • Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications • Master’s degree in engineering, computer science, data science, biostatistics, health informatics, public health, or related quantitative field strongly preferred • Proficiency in Python, R, Stata and experience in SQL/relational databases to support reproducible data cleaning, management, processing, analysis, and documentation Technical Skills & Expected Level of Proficiency • Data Management and Analysis - Developing • Data Pipeline Architecture & ETL/ELT Development - Developing • Data Visualization - Developing • Programming Languages - Developing • Reproducible Research Practices - Developing • Research Methodology - Developing • Statistical Modeling - Developing • Statistical Programming - Developing The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Research Data Analyst Role/Level/Range: ACRP/04/MC Starting Salary Range: $25.23 - $44.20 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: Days and hours will vary FLSA Status: Exempt Location: Hybrid/School of Medicine Campus Department name: SOM Ped Adolescent Medicine Personnel area: School of Medicine

Requirements

Must-haves

Specific Duties & 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.
In addition to the duties described above
Develop and maintain reproducible workflows for cleaning, processing, integrating, and analyzing EHR and study-generated clinical datasets
Conduct comprehensive data quality assessments to identify and resolve missing, inconsistent, duplicate, or anomalous data
Integrate and manage data from study sources to support quantitative and qualitative research analyses

Nice-to-haves

Master’s degree in engineering, computer science, data science, biostatistics, health informatics, public health, or related quantitative field strongly preferred
Proficiency in Python, R, Stata and experience in SQL/relational databases to support reproducible data cleaning, management, processing, analysis, and documentation
Technical Skills & Expected Level of Proficiency
Data Management and Analysis - Developing
Data Pipeline Architecture & ETL/ELT Development - Developing
Data Visualization - Developing
Programming Languages - Developing
Reproducible Research Practices - Developing
Research Methodology - Developing
Statistical Modeling - Developing
Statistical Programming - Developing
Classified Title: Research Data Analyst

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Keywords to mirror

pythonsql

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