Clinical Research Assistant I — Protocol & Data Management

City of Hope; Duarte (CA); On-site; USD 55,000 - 75,000; Full time

Job summary

City of Hope Beckman Research Institute in Duarte, CA is seeking a Clinical Research Assistant I to manage multiple research protocols, ensure regulatory compliance, and support data collection. This role involves participant registration, data submission, and active recruitment efforts under supervision within a dynamic research setting.

The ideal candidate has an Associate’s Degree (Bachelor’s preferred) and experience with medical records data extraction, medical terminology, and health

Qualifications

• Read, identify and extract pertinent data from medical records.
• Ability to read, write and comprehend medical terminology.
• Medical Record, Health Information Systems, or related health field.

Responsibilities

• Manage an assigned set of multiple research protocols to assure efficiency and regulatory compliance.
• Maintain current and accurate protocol documentation and notify investigators of pertinent protocol changes.
• Ensure participants are appropriately registered and maintain documentation of participant registration.
• Compile and submit data on appropriate forms according to protocol requirements.
• Ensure protocol compliance through monitoring of study requirements and schedule protocol-related activities.
• Play an active role in recruiting participants for the study.
• Assist in training and mentoring new clinical research staff members.
• Perform protocol-specific clinical duties as required by the research study.
• Perform data management and data analyses as required by the research study.

Skills

Protocol management

Data management

Participant recruitment

Training staff

Education

Associate’s Degree

Bachelor’s Degree preferred

Job description

City of Hope Beckman Research Institute in Duarte, CA is seeking a Clinical Research Assistant I to manage multiple research protocols, ensure regulatory compliance, and support data collection. This role involves participant registration, data submission, and active recruitment efforts under supervision within a dynamic research setting.

The ideal candidate has an Associate’s Degree (Bachelor’s preferred) and experience with medical records data extraction, medical terminology, and health