Research Assistant (International Health

Research Assistant

The Department of International Health at the Johns Hopkins Bloomberg School of Public Health is seeking a Research Assistant. The Research Assistant oversees data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in support of a PI or a research team.

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

• Perform data cleaning and preprocessing of metabolomics datasets (e.g., missing data checks, filtering, transformation).
• Link and verify multi-source datasets (e.g., phenotype and metabolomics) using subject identifiers.
• Conduct quality control procedures, including outlier detection and data consistency checks.
• Implement and run an existing R-based analysis pipeline.
• Support metabolome-wide regression analyses with interaction terms.
• Assist with multiple testing correction and summary output generation.
• Generate descriptive summaries and comparisons of maternal biomarkers (e.g., by fetal sex).
• Contribute to reproducible code organization and documentation.
• Generate basic figures and tables for internal data review and PI meeting.

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

• Current master's student or recent graduate in biostatistics, epidemiology, bioinformatics, data science, or a related field.
• Proficiency in R and familiarity with regression modeling.
• Experience working with structured datasets and data cleaning workflows.
• Experience with large-scale or high-dimensional data.
• Familiarity with omics data or related analytical approaches.
• Experience with data visualization in R.
• Interest in maternal and child health or nutritional epidemiology.

Technical Skills & Expected Level of Proficiency

• Analytical Skills
  - Awareness
• Attention to Detail
  - Awareness
• Data Management and Analysis
  - Awareness
• Formatting and Layout Proficiency
  - Awareness
• Information Gathering
  - Awareness
• Oral and Written Communications
  - Awareness
• Organizational Skills
  - Awareness

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.