Clinical Data Manager - Data Quality & Analytics

Terumo Medical Corporation; New Jersey; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Annual bonus

Health benefits

401(k) with matching

Job summary

Terumo Medical Corporation seeks a Clinical Data Manager to support data management activities across research studies, ensuring data quality and adherence to SOPs and regulatory guidelines. You will work within a cross-functional team from design through final analysis, delivering clean data for statistical analysis.

The role includes protocol review, CRF design, database specification development, edit check creation, UAT, data review, query resolution, and maintenance of eTMF documentation.

Qualifications

• Undergraduate degree in a Math, Computer Science, or Life Sciences field required or equivalent combination of education, training and industry related experience.
• 3+ years’ experience in supporting clinical research studies within a data management, data analytics, or data reporting function.

Responsibilities

• Review study protocols to ensure data collection requirements are logical and endpoints are supported.
• Develop CRFs and database specifications in collaboration with cross-functional partners.
• Perform data review, query generation and resolution, and data reconciliation.
• Maintain the Data Management Plan and CRF Completion Guidelines.
• Coordinate with study teams to ensure timely and high-quality data deliverables.

Skills

Data management

Regulatory knowledge

Cross-functional collaboration

SAS concepts

SQL basics

eTMF understanding

JReview

Education

Math/CS/Life Sciences degree

Tools

Medidata RAVE

Oracle Clinical

Veeva

OpenClinica

iMedNet

Medrio

JReview

Job description

Terumo Medical Corporation seeks a Clinical Data Manager to support data management activities across research studies, ensuring data quality and adherence to SOPs and regulatory guidelines. You will work within a cross-functional team from design through final analysis, delivering clean data for statistical analysis.

The role includes protocol review, CRF design, database specification development, edit check creation, UAT, data review, query resolution, and maintenance of eTMF documentation.