Dillon Josafat
Pullman,WA
Summary
Dedicated hospital volunteer with two years of experience providing essential support to medical staff. Gained valuable insights into clinical workflows, patient interactions, and interdisciplinary communication within an acute care environment. Demonstrated strong teamwork abilities and effective communication skills, contributing to an integrated healthcare dynamic.
Overview
2
2
years of professional experience
Work History
Research Assistant
Washington State University Neuropsychology and Aging Laboratory
01.2025 - 08.2026
- P focused on enhancing quality of life for dementia patients through smart technology interventions.
- Ensured meticulous and precise data entry for multi-time point studies utilizing statistical software and research databases.
Hospital Volunteer
Pullman Regional Hospital
08.2024 - 04.2026
- Assisted staff in the emergency department by restocking critical medical supplies.
- Performed rapid and thorough room turnovers between patient visits to optimize efficiency in the department.
- Helped to maintain a sterile healthcare environment by routinely disinfecting high-touch surfaces.
- Provided monitoring and continuous observation for high-risk patients, reporting behavioral or physical changes to nursing staff.
Education
Bachelor of Science - Biology
Washington State University
Pullman, WA05-2026
Skills
- Helpful and Service-oriented
- Assisting in acute care settings
- Teamwork and collaboration
- Organization
- SPSS proficiency
- Microsoft Excel
- Data entry
Timeline
Research Assistant
Washington State University Neuropsychology and Aging Laboratory
01.2025 - 08.2026
Hospital Volunteer
Pullman Regional Hospital
08.2024 - 04.2026
Bachelor of Science - Biology
Washington State University
Research Experience
Research Assistant January 2025 - August 2026
Washington State University Neuropsychology and Aging Laboratory
- Contributed 260+ hours of undergraduate research across functional, cognition, aging, and medication studies
- Performed data entry and quality control in REDCap, including second-scoring participant assessments for accuracy.
- Utilized SPSS for medication coding, classifying participant regimens across 15 categories and assessing anticholinergic burden scores.
- Collaborated with multiple research team members while demonstrating strong analytical thinking and attention to detail.