Clinical Research Data Specialist

NYU Langone Health; New York (NY); On-site; USD 54,000 - 55,000; Full time

Benefits offered by this job

Comprehensive benefits

Wellness program

Generous time-off

Job summary

NYU Langone Health's Grossman School of Medicine invites qualified candidates to join our research team as a Research Data Associate. You will support data collection, management, and analysis for clinical trials under supervision.

Responsibilities include coordinating sample handling, data entry, regulatory compliance, and communicating with study personnel. A strong foundation in data discipline and written/verbal communication is required.

Qualifications

• Associate's degree plus one year related experience.
• Computer literate with good interpersonal, writing and verbal communication skills.
• Bachelor's degree preferred; healthcare setting experience is a plus.

Responsibilities

• Interacts with patients/subjects and families in a courteous and professional manner.
• Gathers, packages, stores and transfers slides, samples and other materials; coordinates shipment between departments.
• May complete assessments per protocol and follow-up with patients/subjects; may collect blood samples, perform EKGs, or take vital signs.
• Ensures protocol compliance and accurate documentation of eligibility and follow-up.
• Demonstrates knowledge of host institution policies and regulatory requirements (IRB, etc.).
• Acts as internal auditor during quarterly internal audits and keeps regulatory documents up to date.

Skills

Interpersonal skills

Written communication

Verbal communication

Education

Associate's degree

Bachelor's degree in science or related field

Job description

NYU Langone Health's Grossman School of Medicine invites qualified candidates to join our research team as a Research Data Associate. You will support data collection, management, and analysis for clinical trials under supervision.

Responsibilities include coordinating sample handling, data entry, regulatory compliance, and communicating with study personnel. A strong foundation in data discipline and written/verbal communication is required.