Inside Higher Ed
We are seeking a
Programmer Analyst
to provide research support to the Biostatistics, Epidemiology & Data management (BEAD Core) in the Johns Hopkins School of Medicine Department of Pediatrics. Responsibilities
Support day-to-day research and programmatic activities related to database development and database management for research projects and programs. Implement basic and, at times, more complex biostatistical analyses under the supervision of faculty investigators. Develop, implement, test, and support data collection tools and databases, including RedCap and ACASI. Format and clean databases and datasets as needed, including large-scale national and international datasets. Maintain, manage, and update databases; provide programming for projects with ongoing support. Manage clinical and other data sets; conduct data cleaning and formatting to facilitate data export to statistics packages. Provide support to faculty investigators in data management, cleaning, and (basic and complex) biostatistical analysis. Produce data visualizations as needed and communicate findings clearly to the study team as the project progresses. Deliver clear results to the study team, including basic tables and complex analytical results. All duties are as applicable and additional duties as assigned. Minimum Qualifications
Bachelor’s Degree. One year of related experience. Additional education may substitute for required experience, per Johns Hopkins University equivalency guidelines. Preferred Qualifications
Master’s Degree in a related discipline (such as public health). Experience with database development, specifically REDCap, ACASI, and/or Qualtrics. Familiarity with a statistical analysis program (STATA, SAS, or R). Location: Hybrid/Johns Hopkins Bayview Schedule: M-F, 8:30 AM – 5:00 PM Department: SOM Ped Bay Bayview Pediatric Unit Employee group: Full Time | FLSA Status: Exempt All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Programmer Analyst
to provide research support to the Biostatistics, Epidemiology & Data management (BEAD Core) in the Johns Hopkins School of Medicine Department of Pediatrics. Responsibilities
Support day-to-day research and programmatic activities related to database development and database management for research projects and programs. Implement basic and, at times, more complex biostatistical analyses under the supervision of faculty investigators. Develop, implement, test, and support data collection tools and databases, including RedCap and ACASI. Format and clean databases and datasets as needed, including large-scale national and international datasets. Maintain, manage, and update databases; provide programming for projects with ongoing support. Manage clinical and other data sets; conduct data cleaning and formatting to facilitate data export to statistics packages. Provide support to faculty investigators in data management, cleaning, and (basic and complex) biostatistical analysis. Produce data visualizations as needed and communicate findings clearly to the study team as the project progresses. Deliver clear results to the study team, including basic tables and complex analytical results. All duties are as applicable and additional duties as assigned. Minimum Qualifications
Bachelor’s Degree. One year of related experience. Additional education may substitute for required experience, per Johns Hopkins University equivalency guidelines. Preferred Qualifications
Master’s Degree in a related discipline (such as public health). Experience with database development, specifically REDCap, ACASI, and/or Qualtrics. Familiarity with a statistical analysis program (STATA, SAS, or R). Location: Hybrid/Johns Hopkins Bayview Schedule: M-F, 8:30 AM – 5:00 PM Department: SOM Ped Bay Bayview Pediatric Unit Employee group: Full Time | FLSA Status: Exempt All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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