Senior Clinical Data Coordinator & Preceptorship Lead

Fred Hutchinson Cancer Center (Fred Hutch); Seattle (WA); Sur place; USD 44 000 - 66 000; Plein temps

Avantages offerts par ce poste

Medical and vision benefits

Tuition reimbursement

Paid vacation

Résumé du poste

Fred Hutchinson Cancer Center seeks a QC and Preceptorship Senior Data Coordinator to manage clinical trial data with a focus on quality and training. The role collaborates with investigators and staff to ensure compliant data collection and timely study delivery.

The position supports onboarding, preceptorship, and training for Data Coordinators, while sustaining data quality across multiple studies and disease areas. A hands-on approach and strong communication are essential.

Qualifications

• BA/BS or two-year degree in the medical field.
• Three years of experience in medical records, cancer registry, or related field.
• Experience mentoring or precepting is preferred.
• Experience developing training materials, tools, SOPs, or operational resources is preferred.

Responsabilités

• Review, monitor, analyze, abstract, and code patient/participant data for accuracy, completeness, timeliness, and compliance.
• Review and edit research protocols related to data collection; monitor adherence and flag data-quality concerns.
• Perform routine audits and quality reviews to ensure data integrity and reliability.
• Maintain clinical research databases and support data management activities; coordinate with data suppliers.

Connaissances

Data coordination

Quality assurance

Mentoring/precepting

Strong communication

Formation

BA/BS or two-year medical degree

Outils

Databases

Description du poste

Fred Hutchinson Cancer Center seeks a QC and Preceptorship Senior Data Coordinator to manage clinical trial data with a focus on quality and training. The role collaborates with investigators and staff to ensure compliant data collection and timely study delivery.

The position supports onboarding, preceptorship, and training for Data Coordinators, while sustaining data quality across multiple studies and disease areas. A hands-on approach and strong communication are essential.