Clinical Trials QC & Data Analyst

Green Life Science; Covina (CA); On-site; USD 70,000 - 90,000; Full time

Job summary

Green Life Science is seeking a QC & Data Analyst to help ensure clinical trial data is accurate, complete and compliant. You will review study charts against SOPs and regulatory guidelines, and enter and verify data within CRF/eCRF systems.

The role involves source-to-CRF reconciliation, raising data queries, supporting sponsor monitor visits, and collaborating with CRCs, investigators, sponsors and CRO teams to drive data quality and process improvements in a fast-paced environment.

Qualifications

• 1-3+ years' experience in clinical or biological research.
• Bachelor's degree or equivalent experience.
• Understanding of GCP and clinical research processes.
• Experience with clinical data, source documentation, CRFs/eCRFs or QC.
• Strong Excel, Word and Outlook skills.
• Excellent attention to detail and organisation.
• Strong communication and problem-solving skills.
• Comfortable working independently in a fast-paced clinical research environment.

Responsibilities

• Review study charts against SOPs, GCP, GDP and study protocols.
• Enter and verify data within CRF/eCRF systems.
• Perform source-to-CRF/eCRF reconciliation.
• Raise and resolve data queries.
• Support sponsor monitor visits and query resolution.
• Attend Site Initiation Visits (SIVs).
• Identify data trends and support QC reporting.
• Work closely with CRCs, investigators, sponsors and CRO teams.
• Support onboarding, training and process improvement.

Skills

Attention to detail

Organization

Communication skills

Problem-solving

Independent work

Education

Bachelor's degree

Tools

Excel

Word

Outlook

CRF/eCRF systems

Job description

Green Life Science is seeking a QC & Data Analyst to help ensure clinical trial data is accurate, complete and compliant. You will review study charts against SOPs and regulatory guidelines, and enter and verify data within CRF/eCRF systems.

The role involves source-to-CRF reconciliation, raising data queries, supporting sponsor monitor visits, and collaborating with CRCs, investigators, sponsors and CRO teams to drive data quality and process improvements in a fast-paced environment.