Lead Clinical Data Manager II — Trials

Precision Medicine Group

Peapack-Gladstone (NJ)

On-site

USD 101,000 - 166,000

Full time

1 hour ago
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Job summary

Precision Medicine Group is seeking a Clinical Data Manager II to lead data management for assigned trials from start-up through database lock. Responsibilities include CRF development, database builds, UAT, and QA of data.

The role requires strong communication and organizational skills and travel as needed. The candidate will interact with sponsors and vendors, oversee documentation, and ensure timelines and data quality align with study plans.

Qualifications

  • 5+ years’ Clinical Data Management experience
  • Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook
  • Experience in utilizing a clinical database management system
  • Broad knowledge of drug, device and/or biologic development and effective data management practices
  • Ability to undertake occasional travel

Responsibilities

  • Lead DM role for assigned projects, ensuring continuity and timely delivery
  • Develop CRF specifications from the protocol and coordinate stakeholder feedback
  • Oversee and/or perform database development, UAT and documentation
  • Review data per the Data Management Plan and query resolution
  • Coordinate with sponsors, vendors and project teams on data, timelines and deliverables

Skills

Excellent organizational skills
Strong communication skills
English fluency
Travel flexibility

Education

Bachelor's degree or related experience

Tools

Microsoft Office
Clinical database system
CDISC standards
MedDRA/WHODrug knowledge

Job description

Precision Medicine Group is seeking a Clinical Data Manager II to lead data management for assigned trials from start-up through database lock. Responsibilities include CRF development, database builds, UAT, and QA of data.

The role requires strong communication and organizational skills and travel as needed. The candidate will interact with sponsors and vendors, oversee documentation, and ensure timelines and data quality align with study plans.

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