Senior Clinical Data Manager & Project Lead

MMS; Phoenix (AZ); Sur place; USD 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

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Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Data management

Project leadership

Client coordination

GCP/ICH compliance

Formation

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

Outils

EDC systems

Description du poste

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.