Research Assistant (Neurology) - #Staff

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.

The Department of Neurology is seeking a Research Assistant for the Johansen Laboratory ( in the Cerebrovascular Division at the Johns Hopkins University School of Medicine. The Johansen Lab is a collaborative clinical and data science group studying stroke etiology, vascular contributions to cognitive impairment and the heart-brain connection. This role blends patient-facing coordination with rigorous data management and statistical analysis using EMR, REDCap, and cohort datasets. The lab includes all levels from undergraduates to post-doctoral and represents a dynamic team, with collaborations across the university and outside the walls of the institution.

This position has occasional early-morning or late-afternoon coverage aligned with clinic schedules and limited off-hours availability during active enrollment periods. The role is primarily in-person with some flexibility for remote work for data/analysis tasks.

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

• Coordinate patient/participant screening, consenting, and study procedures in clinical settings in accordance with IRB-approved protocols.

• Build and maintain reproducible data pipelines (REDCap to EPIC/EMR to analysis files) and develop data dictionaries to standardize lab datasets.

• Perform statistical analyses (e.g., descriptive statistics, regression) and create clear figures/tables for presentations, manuscripts, and reports.

• Manage IRB submissions, amendments, and continuing reviews; maintain regulatory binders and ensure compliance with study protocols.

• Collaborate closely with trainees and external partners; provide guidance on data standards and analysis best practices.

Minimum Qualifications

• Bachelor's Degree in a related field.

• Proficiency in R or Stata, or equivalent statistical software, for data manipulation and statistical modeling.

• 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

• Experience with EPIC/EMR data workflows for research.

• Prior patient-facing research experience (screening, consenting, coordination).

• Experience with epidemiologic cohort data.

• Experience with cognitive batteries, or cognitive testing

• Experience with REDCap for data capture and data management.

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.

Classified Title: Research Assistant

Role/Level/Range: ACRO40/E/03/CD

Starting Salary Range: $17.20 - $30.30/hr (Commensurate w/exp.)

Employee group: Full Time

Schedule: M-F 8:30 am - 5:00 pm

FLSA Status: Non-Exempt

Location: School of Medicine Campus

Department name: SOM Neuro Cerebrovascular

Personnel area: School of Medicine

Equal Opportunity Employer

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.