Sr. Research Data Analyst (International Health)
Inside Higher Ed, Baltimore, MD, United States
The Center for Indigenous Health (CIH), part of Johns Hopkins Bloomberg School of Public Health is seeking a
Sr. Research Data Analyst . The Sr. Research Data Analyst 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.
Specific Duties & Responsibilities
Develop, manage, and database of survey data from multi-site study.
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.
Create infographics and other data visualization for wide ranging communication of data to academic and non-academic audiences.
Manuscript collaboration, including creating graphs and figures as well as drafting content for methods section.
Minimum Qualifications
Master’s Degree in a related field.
One year of related experience.
Require highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
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
Proficient with R and its relevant packages (e.g., dplyr, gmodels, ggplot2) to perform data manipulation, statistical analysis, and modeling.
Mixed methods research experience
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.
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Sr. Research Data Analyst . The Sr. Research Data Analyst 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.
Specific Duties & Responsibilities
Develop, manage, and database of survey data from multi-site study.
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.
Create infographics and other data visualization for wide ranging communication of data to academic and non-academic audiences.
Manuscript collaboration, including creating graphs and figures as well as drafting content for methods section.
Minimum Qualifications
Master’s Degree in a related field.
One year of related experience.
Require highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
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
Proficient with R and its relevant packages (e.g., dplyr, gmodels, ggplot2) to perform data manipulation, statistical analysis, and modeling.
Mixed methods research experience
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.
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