Location: Baltimore, MD
Cap-Exempt H-1B Position — No lottery required
Baltimore, MD, United States Find out how well you match with this job Job description Working at JHU Affiliated Office Address Baltimore, MD, United States Requisition ID 121172 Date Created May 06, 2026 Job Family Research Job Subfamily General Research Job Function Research Exempt Status Non-Exempt Shift Type Casual / On Call Schedule Hours Vary: Up to 27 hours per week Worksite 05-MD:School of Public Health Work Modality Remote: Not on-site or < 10% of hours worked on-site We are seeking a motivated and detail-oriented ***Research Assistant*** to assist with a research project focused on data extraction. The successful candidate will be responsible for tasks involving HTML parsing and extracting structured data from TXT, html and PDF files using Python. This position offers the opportunity to apply technical skills in real-world research applications. The ultimate goal of the project is to create a high-quality dataset intended for public consumption. Extensive documentation and collaboration with other colleagues conducting quality control checks will be integral parts of the process. 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* - Parse and extract data fro