Alzheimer's Clinical Research Assistant - Data Entry

Rush University Medical Center; Chicago (IL); On-site; USD 25,000 - 34,000; Full time

Job summary

Rush University Medical Center is seeking a Clinical Research Assistant in the Rush Alzheimer’s Disease Center-Research Facility. The role involves data collection and documentation for clinical studies, with potential evening, overnight, and weekend hours as protocols require.

The candidate will assist with data entry, participant eligibility, scheduling, and coordination with a multi-disciplinary team while maintaining confidentiality and meeting deadlines in a fast-paced research environment.

Qualifications

• High School Diploma is required.
• 1 year of experience with data collection.
• Entry level proficiency in Microsoft Office, including spreadsheets and databases.
• Ability to meet deadlines.
• Detail oriented with high attention to accuracy.
• Ability to maintain confidentiality with a diverse pool of research participants.

Responsibilities

• Administers tests and questionnaires including eligibility assessment per study protocols.
• Assist with recruitment, screening and scheduling potential study participants.
• Collect and enter data into study case report forms or EDC systems.
• Respond to queries in a timely manner; assist with document submission to IRB as needed.
• Maintain accurate documentation of consent, HIPAA forms, IRB approvals, and study communications.
• Gather materials for participant visits and assist with data analysis and reporting.

Skills

Data collection

Data entry

Microsoft Office

Attention to detail

Verbal and written communication

Ability to meet deadlines

Confidentiality

Education

High School Diploma

Bachelor’s degree in Sciences or health-related discipline

Tools

Electronic Data Capture (EDC) system

Job description

Rush University Medical Center is seeking a Clinical Research Assistant in the Rush Alzheimer’s Disease Center-Research Facility. The role involves data collection and documentation for clinical studies, with potential evening, overnight, and weekend hours as protocols require.

The candidate will assist with data entry, participant eligibility, scheduling, and coordination with a multi-disciplinary team while maintaining confidentiality and meeting deadlines in a fast-paced research environment.