Clinical Research Data Specialist (Phase 1) at Temple Health System
Philadelphia, Pennsylvania, United States -
Full Time


Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

0.0

Posted On

26 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Collection, Data Analysis, Data Reporting, Case Report Forms, Data Queries, Clinical Data, Study Monitoring, Oncology Trials, Clinical Research, Healthcare Team Interaction, Study Initiation Meetings, Study Related Meetings, Flexibility, Timely Delivery, Data Compilation, Submission

Industry

Hospitals and Health Care

Description
The Clinical Research Data Specialist supports the data collection, analysis and reporting functions for the Office of Clinical Research (OCR) for assigned oncology trials in Phase I, II or III clinical trials and works in conjunction with a Clinical Research Nurse/Coordinator (CRN/CRC) to ensure accurate and timely delivery of data compilation and submission. Responsibilities include: extracting data from source documents to complete case report forms for oncology clinical trials, responding to data queries, gathering and organizing clinical data, participating in departmental and study related meetings, conducting study initiation meetings and participating in study monitoring visits onsite. In addition, this position is expected to interact with the institutional investigators, other members of the healthcare team, service line members and research participants/families, in a manner that supports the conduct of clinical trials. Flexibility in work schedule when possible must be maintained to ensure coverage of study responsibilities Education Bachelor's Degree Required or Combination of relevant education and experience may be considered in lieu of degree Required Experience General Experience in the medical or scientific field Preferred Licenses
Responsibilities
The Clinical Research Data Specialist supports data collection, analysis, and reporting for oncology trials. Responsibilities include extracting data from source documents and ensuring accurate and timely data submission.
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