Research Assistant, Data Core

Johns Hopkins, founded in 1876, is America's first research university and home to nine world-class academic divisions working together as one university.

We are seeking a Research Assistant, Data Core who will oversee data collection, data organization, and/or data management or similar functions/tasks for research study(ies) and support of clinical trial data management by maintaining research databases, supporting EDC systems, assisting with data quality assurance, generating study reports, and maintaining regulatory documentation. The role requires technical, analytical, and systemsbased skills.

Specific Duties & Responsibilities

• Run routine and ad hoc reports.
• Use standard tools and computer programs to review data.
• Assist with data cleaning measures to ensure accuracy of data and preparation of tables.
• Lead basic activities such as data collection and data entry.
• May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
• May conduct literature searches to support faculty in research efforts.
• May design and format papers/publications.
• May assist PIs in writing summaries of papers for release as policy briefs or other channels.
• Other duties as assigned.

In addition to the duties described above

• Clinical trial–focused data management, including data entry, editing, data transfers and use of electronic data capture systems (e.g., REDCap/EDC) and survey tools.
• Support for data quality assurance checks and audit activities.
• Generation of study level data queries, reports, and progress summaries.
• Analytical and technical support to data managers and data analysts.
• Coordination of data processes across multisite or multistudy projects.

Minimum Qualifications

• Bachelor's Degree in a related field.
• 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

• Knowledge in relational databases and modern programming language is preferred but not required.