Senior Clinical Data Manager & Project Lead

MMS

Phoenix (AZ)

On-site

USD 90,000 - 130,000

Full time

9 hours ago
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Benefits offered by this job

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Job summary

MMS, a data-focused clinical research organization, is seeking a senior data management professional to lead data management studies and collaborate with clients and suppliers. The role emphasizes quality, regulatory adherence, and cross-functional leadership.

You will oversee the full data lifecycle, mentor junior staff, and ensure alignment with GCP/ICH guidelines and FDA regulations, while supporting study timelines and data integrity across trials.

Qualifications

  • Bachelor’s or Master’s Degree in scientific or health care field preferred with industry or relevant experience.
  • 5+ years’ experience in data management field with a minimum of 1 year of experience leading projects.
  • Extensive knowledge of paper CRF study systems, EDC, and hybrid CDM systems.
  • Extensive knowledge of Clinical Operations SOPs and Working Practices.
  • Excellent verbal and written communication skills, as well as, interpersonal and organizational skills.

Responsibilities

  • Excellent internal and external customer service.
  • Advises customers on best-fit EDC solutions.
  • Coordinates with DM suppliers and clients on project specifics.
  • Leads data management activities from study setup to database closure.
  • Supports data management documentation and QA activities.

Skills

Data management
Project leadership
Client coordination
GCP/ICH compliance

Education

Bachelor’s or Master’s Degree in scientific/healthcare field

Tools

EDC systems

Job description

MMS, a data-focused clinical research organization, is seeking a senior data management professional to lead data management studies and collaborate with clients and suppliers. The role emphasizes quality, regulatory adherence, and cross-functional leadership.

You will oversee the full data lifecycle, mentor junior staff, and ensure alignment with GCP/ICH guidelines and FDA regulations, while supporting study timelines and data integrity across trials.

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