Research Assistant (International Health)

Johns Hopkins University•Baltimore, MD

21h•$18 - $31•Hybrid

About The Position

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.

Requirements

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.
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

Nice To Haves

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.

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.
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.
Other duties as assigned.